update first week
This commit is contained in:
Morten Hjorth-Jensen
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
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2,
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None,
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'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
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('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
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@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
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||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
@@ -351,9 +351,14 @@ MathJax.Hub.Config({
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<!-- !split -->
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<h2 id="overview-of-first-week" class="anchor">Overview of first week </h2>
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<p>The sessions on Tuesdays and Wednesdays last four hours and will include partly lectures in a flipped mode (promoting active learning) and work on exercices and projects.
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The sessions will begin with lectures and questions and answers about the material to be covered every week. There are four groups, Tuesdays 815am-12pm and 1215pm-4pm and
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Wednesdays 815am-12pm and 1215pm-4pm. Please sign up as soon as possible for one of the groups. Max capacity per group is 30-40 persons.
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<p>The sessions on Tuesdays and Wednesdays last four hours and will
|
||||
include partly lectures in a flipped mode (promoting active learning)
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and work on exercices and projects. The sessions will begin with
|
||||
lectures and questions and answers about the material to be covered
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||||
every week. There are four groups, Tuesdays 815am-12pm and 1215pm-4pm
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and Wednesdays 815am-12pm and 1215pm-4pm. Please sign up as soon as
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||||
possible for one of the groups. Max capacity per group is 30-40
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persons.
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</p>
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<p>On Thursdays we have a regular lecture. These lectures start at 1215pm and end at 2pm.
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@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
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||||
@@ -361,7 +361,7 @@ MathJax.Hub.Config({
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<li> HTF: Hastie, Tibshirani, and Friedman, The Elements of Statistical Learning</li>
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<li> AG: Aurelien Geron, Hands‑On Machine Learning with Scikit‑Learn and TensorFlow</li>
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</ul>
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<p>Reading recommendations this week: Refresh linear algebra, GBC chapters 1 and 2. CMB sections 1.1 and 3.1. HTF chapters 2 and 3. Install scikit-learn. See lecture notes for week 34 at <a href="https://compphysics.github.io/MachineLearning/doc/web/course.html" target="_self"><tt>https://compphysics.github.io/MachineLearning/doc/web/course.html</tt></a></p>
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<p>Reading recommendations this week: Refresh linear algebra, GBC chapters 1 and 2. CMB sections 1.1 and 3.1. HTF chapters 2 and 3. Install scikit-learn. See lecture notes for week 34 at <a href="https://compphysics.github.io/MachineLearning/doc/web/course.html" target="_self"><tt>https://compphysics.github.io/MachineLearning/doc/web/course.html</tt></a> (these notes).</p>
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</div>
|
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</div>
|
||||
|
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|
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@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
@@ -364,6 +364,9 @@ MathJax.Hub.Config({
|
||||
<li> <b>Office hours</b>: <em>Anytime</em>! Individual or group office hours can be arranged either in person or via zoom. Feel free to send an email for planning.</li>
|
||||
</ul>
|
||||
<li> Ida Torkjellsdatter Storehaug, i.t.storehaug@fys.uio.no</li>
|
||||
<li> Fahimeh Najafi,</li>
|
||||
<li> Mia K.O. Kvalsund,</li>
|
||||
<li> Karl Henrik Fredly,</li>
|
||||
</ul>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
@@ -356,9 +356,9 @@ MathJax.Hub.Config({
|
||||
<!-- subsequent paragraphs come in larger fonts, so start with a paragraph -->
|
||||
|
||||
<ol>
|
||||
<li> Project 1: October 11 (available September 5) graded with feedback)</li>
|
||||
<li> Project 2: November 11 (available October 7, graded with feedback)</li>
|
||||
<li> Project 3: December 9 (available November 11, graded with feedback)</li>
|
||||
<li> Project 1: October 9 (available September 4) graded with feedback)</li>
|
||||
<li> Project 2: November 6 (available October 6, graded with feedback)</li>
|
||||
<li> Project 3: December 11 (available November 10, graded with feedback)</li>
|
||||
</ol>
|
||||
<p>Projects are handed in using <b>Canvas</b>. We use Github as repository for codes, benchmark calculations etc. Comments and feedback on projects only via <b>Canvas</b>. </p>
|
||||
</div>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
@@ -349,20 +349,30 @@ MathJax.Hub.Config({
|
||||
<p> </p><p> </p><p> </p> <!-- add vertical space -->
|
||||
<a name="part0012"></a>
|
||||
<!-- !split -->
|
||||
<h2 id="topics-covered-in-this-course-machine-learning" class="anchor">Topics covered in this course: Machine Learning </h2>
|
||||
<h2 id="topics-covered-in-this-course" class="anchor">Topics covered in this course </h2>
|
||||
|
||||
<div class="panel panel-default">
|
||||
<div class="panel-body">
|
||||
<!-- subsequent paragraphs come in larger fonts, so start with a paragraph -->
|
||||
<p>The following topics will be covered</p>
|
||||
|
||||
<ul>
|
||||
<li> Linear Regression and Logistic Regression;</li>
|
||||
<li> Neural networks and deep learning, including convolutional and recurrent neural networks;</li>
|
||||
<li> Decisions trees, Random Forests, Bagging and Boosting;</li>
|
||||
<li> Support vector machines;</li>
|
||||
<li> Bayesian linear and logistic regression (tentative);</li>
|
||||
<li> Boltzmann Machines (tentative);</li>
|
||||
<li> Unsupervised learning Dimensionality reduction, from PCA to clustering;</li>
|
||||
<li> Pre deep-learning revolution (2008 approx)</li>
|
||||
<ul>
|
||||
<li> Linear Regression and Logistic Regression, classification and regression problems;</li>
|
||||
<li> Bayesian linear and logistic regression, kernel regression;</li>
|
||||
<li> Decisions trees, Random Forests, Bagging and Boosting methods;</li>
|
||||
<li> Support vector machines (only survey);</li>
|
||||
<li> Unsupervised learning and dimensionality reduction, from PCA to clustering;</li>
|
||||
</ul>
|
||||
<li> Deep learning</li>
|
||||
<ul>
|
||||
<li> Neural networks and deep learning;</li>
|
||||
<li> Convolutional neural networks;</li>
|
||||
<li> Recurrent neural networks;</li>
|
||||
<li> Autoencoders</li>
|
||||
<li> Generative methods with an emphasis on Boltzmann Machines, Variational Autoencoders and Generalized Adversarial Networks;</li>
|
||||
</ul>
|
||||
</ul>
|
||||
<p>Hands-on demonstrations, exercises and projects aim at deepening your understanding of these topics.</p>
|
||||
</div>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
@@ -352,17 +352,15 @@ MathJax.Hub.Config({
|
||||
<h2 id="other-courses-on-data-science-and-machine-learning-at-uio" class="anchor">Other courses on Data science and Machine Learning at UiO </h2>
|
||||
|
||||
<p>The link here <a href="https://www.mn.uio.no/english/research/about/centre-focus/innovation/data-science/studies/" target="_self"><tt>https://www.mn.uio.no/english/research/about/centre-focus/innovation/data-science/studies/</tt></a> gives an excellent overview of courses on Machine learning at UiO.</p>
|
||||
|
||||
<ol>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS5419/index-eng.html" target="_self">FYS5419 Quantum Computing and Quantum Machine Learning</a></li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS5429/index-eng.html" target="_self">FYS5429 Advanced Machine Learning for the Physical Sciences</a></li>
|
||||
<li> <a href="http://www.uio.no/studier/emner/matnat/math/STK2100/index-eng.html" target="_self">STK2100 Machine learning and statistical methods for prediction and classification</a>.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN3050/index-eng.html" target="_self">IN3050/4050 Introduction to Artificial Intelligence and Machine Learning</a>. Introductory course in machine learning and AI with an algorithmic approach.</li>
|
||||
<li> <a href="http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html" target="_self">STK-INF3000/4000 Selected Topics in Data Science</a>. The course provides insight into selected contemporary relevant topics within Data Science.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN4080/index.html" target="_self">IN4080 Natural Language Processing</a>. Probabilistic and machine learning techniques applied to natural language processing.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/index-eng.html" target="_self">STK-IN4300 Statistical learning methods in Data Science</a>. An advanced introduction to statistical and machine learning. For students with a good mathematics and statistics background.</li>
|
||||
<li> <a href="http://www.uio.no/studier/emner/matnat/ifi/INF4490/" target="_self">INF4490 Biologically Inspired Computing</a>. An introduction to self-adapting methods also called artificial intelligence or machine learning.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN-STK5000/index-eng.html" target="_self">IN-STK5000 Adaptive Methods for Data-Based Decision Making</a>. Methods for adaptive collection and processing of data based on machine learning techniques.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN5400/" target="_self">IN5400/INF5860 Machine Learning for Image Analysis</a>. An introduction to deep learning with particular emphasis on applications within Image analysis, but useful for other application areas too.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/its/TEK5040/" target="_self">TEK5040 Deep learning for autonomous systems</a>. The course addresses advanced algorithms and architectures for deep learning with neural networks. The course provides an introduction to how deep-learning techniques can be used in the construction of key parts of advanced autonomous systems that exist in physical environments and cyber environments.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN4310/index.html" target="_self">IN3310/4310 Deep Learnig for Image Analysis</a></li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/math/STK4051/index-eng.html" target="_self">STK4051 Computational Statistics</a></li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/math/STK4021/index-eng.html" target="_self">STK4021 Applied Bayesian Analysis and Numerical Methods</a></li>
|
||||
</ol>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -54,10 +54,10 @@ doconce format html week34.do.txt --html_style=bootstrap --pygments_html_style=d
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -277,7 +277,7 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course" style="font-size: 80%;"><b>Topics covered in this course</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
||||
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
||||
|
||||
@@ -197,9 +197,14 @@ MathJax.Hub.Config({
|
||||
<section>
|
||||
<h2 id="overview-of-first-week">Overview of first week </h2>
|
||||
|
||||
<p>The sessions on Tuesdays and Wednesdays last four hours and will include partly lectures in a flipped mode (promoting active learning) and work on exercices and projects.
|
||||
The sessions will begin with lectures and questions and answers about the material to be covered every week. There are four groups, Tuesdays 815am-12pm and 1215pm-4pm and
|
||||
Wednesdays 815am-12pm and 1215pm-4pm. Please sign up as soon as possible for one of the groups. Max capacity per group is 30-40 persons.
|
||||
<p>The sessions on Tuesdays and Wednesdays last four hours and will
|
||||
include partly lectures in a flipped mode (promoting active learning)
|
||||
and work on exercices and projects. The sessions will begin with
|
||||
lectures and questions and answers about the material to be covered
|
||||
every week. There are four groups, Tuesdays 815am-12pm and 1215pm-4pm
|
||||
and Wednesdays 815am-12pm and 1215pm-4pm. Please sign up as soon as
|
||||
possible for one of the groups. Max capacity per group is 30-40
|
||||
persons.
|
||||
</p>
|
||||
|
||||
<p>On Thursdays we have a regular lecture. These lectures start at 1215pm and end at 2pm.
|
||||
@@ -234,7 +239,7 @@ The first week we wtart with simple linear regression, a repetition of linear al
|
||||
<p><li> AG: Aurelien Geron, Hands‑On Machine Learning with Scikit‑Learn and TensorFlow</li>
|
||||
</ul>
|
||||
<p>
|
||||
<p>Reading recommendations this week: Refresh linear algebra, GBC chapters 1 and 2. CMB sections 1.1 and 3.1. HTF chapters 2 and 3. Install scikit-learn. See lecture notes for week 34 at <a href="https://compphysics.github.io/MachineLearning/doc/web/course.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/web/course.html</tt></a></p>
|
||||
<p>Reading recommendations this week: Refresh linear algebra, GBC chapters 1 and 2. CMB sections 1.1 and 3.1. HTF chapters 2 and 3. Install scikit-learn. See lecture notes for week 34 at <a href="https://compphysics.github.io/MachineLearning/doc/web/course.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/web/course.html</tt></a> (these notes).</p>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
@@ -320,6 +325,9 @@ The first week we wtart with simple linear regression, a repetition of linear al
|
||||
</ul>
|
||||
<p>
|
||||
<p><li> Ida Torkjellsdatter Storehaug, i.t.storehaug@fys.uio.no</li>
|
||||
<p><li> Fahimeh Najafi,</li>
|
||||
<p><li> Mia K.O. Kvalsund,</li>
|
||||
<p><li> Karl Henrik Fredly,</li>
|
||||
</ul>
|
||||
</div>
|
||||
</section>
|
||||
@@ -332,9 +340,9 @@ The first week we wtart with simple linear regression, a repetition of linear al
|
||||
<p>
|
||||
|
||||
<ol>
|
||||
<p><li> Project 1: October 11 (available September 5) graded with feedback)</li>
|
||||
<p><li> Project 2: November 11 (available October 7, graded with feedback)</li>
|
||||
<p><li> Project 3: December 9 (available November 11, graded with feedback)</li>
|
||||
<p><li> Project 1: October 9 (available September 4) graded with feedback)</li>
|
||||
<p><li> Project 2: November 6 (available October 6, graded with feedback)</li>
|
||||
<p><li> Project 3: December 11 (available November 10, graded with feedback)</li>
|
||||
</ol>
|
||||
<p>
|
||||
<p>Projects are handed in using <b>Canvas</b>. We use Github as repository for codes, benchmark calculations etc. Comments and feedback on projects only via <b>Canvas</b>. </p>
|
||||
@@ -445,20 +453,42 @@ specifically, after this course you will
|
||||
</section>
|
||||
|
||||
<section>
|
||||
<h2 id="topics-covered-in-this-course-machine-learning">Topics covered in this course: Machine Learning </h2>
|
||||
<h2 id="topics-covered-in-this-course">Topics covered in this course </h2>
|
||||
|
||||
<div class="alert alert-block alert-block alert-text-normal">
|
||||
<b></b>
|
||||
<p>
|
||||
<p>The following topics will be covered</p>
|
||||
|
||||
<ul>
|
||||
<p><li> Linear Regression and Logistic Regression;</li>
|
||||
<p><li> Neural networks and deep learning, including convolutional and recurrent neural networks;</li>
|
||||
<p><li> Decisions trees, Random Forests, Bagging and Boosting;</li>
|
||||
<p><li> Support vector machines;</li>
|
||||
<p><li> Bayesian linear and logistic regression (tentative);</li>
|
||||
<p><li> Boltzmann Machines (tentative);</li>
|
||||
<p><li> Unsupervised learning Dimensionality reduction, from PCA to clustering;</li>
|
||||
<p><li> Pre deep-learning revolution (2008 approx)</li>
|
||||
<ul>
|
||||
|
||||
<p><li> Linear Regression and Logistic Regression, classification and regression problems;</li>
|
||||
|
||||
<p><li> Bayesian linear and logistic regression, kernel regression;</li>
|
||||
|
||||
<p><li> Decisions trees, Random Forests, Bagging and Boosting methods;</li>
|
||||
|
||||
<p><li> Support vector machines (only survey);</li>
|
||||
|
||||
<p><li> Unsupervised learning and dimensionality reduction, from PCA to clustering;</li>
|
||||
</ul>
|
||||
<p>
|
||||
<p><li> Deep learning</li>
|
||||
<ul>
|
||||
|
||||
<p><li> Neural networks and deep learning;</li>
|
||||
|
||||
<p><li> Convolutional neural networks;</li>
|
||||
|
||||
<p><li> Recurrent neural networks;</li>
|
||||
|
||||
<p><li> Autoencoders</li>
|
||||
|
||||
<p><li> Generative methods with an emphasis on Boltzmann Machines, Variational Autoencoders and Generalized Adversarial Networks;</li>
|
||||
</ul>
|
||||
<p>
|
||||
</ul>
|
||||
<p>
|
||||
<p>Hands-on demonstrations, exercises and projects aim at deepening your understanding of these topics.</p>
|
||||
@@ -484,17 +514,15 @@ specifically, after this course you will
|
||||
<h2 id="other-courses-on-data-science-and-machine-learning-at-uio">Other courses on Data science and Machine Learning at UiO </h2>
|
||||
|
||||
<p>The link here <a href="https://www.mn.uio.no/english/research/about/centre-focus/innovation/data-science/studies/" target="_blank"><tt>https://www.mn.uio.no/english/research/about/centre-focus/innovation/data-science/studies/</tt></a> gives an excellent overview of courses on Machine learning at UiO.</p>
|
||||
|
||||
<ol>
|
||||
<p><li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS5419/index-eng.html" target="_blank">FYS5419 Quantum Computing and Quantum Machine Learning</a></li>
|
||||
<p><li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS5429/index-eng.html" target="_blank">FYS5429 Advanced Machine Learning for the Physical Sciences</a></li>
|
||||
<p><li> <a href="http://www.uio.no/studier/emner/matnat/math/STK2100/index-eng.html" target="_blank">STK2100 Machine learning and statistical methods for prediction and classification</a>.</li>
|
||||
<p><li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN3050/index-eng.html" target="_blank">IN3050/4050 Introduction to Artificial Intelligence and Machine Learning</a>. Introductory course in machine learning and AI with an algorithmic approach.</li>
|
||||
<p><li> <a href="http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html" target="_blank">STK-INF3000/4000 Selected Topics in Data Science</a>. The course provides insight into selected contemporary relevant topics within Data Science.</li>
|
||||
<p><li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN4080/index.html" target="_blank">IN4080 Natural Language Processing</a>. Probabilistic and machine learning techniques applied to natural language processing.</li>
|
||||
<p><li> <a href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/index-eng.html" target="_blank">STK-IN4300 Statistical learning methods in Data Science</a>. An advanced introduction to statistical and machine learning. For students with a good mathematics and statistics background.</li>
|
||||
<p><li> <a href="http://www.uio.no/studier/emner/matnat/ifi/INF4490/" target="_blank">INF4490 Biologically Inspired Computing</a>. An introduction to self-adapting methods also called artificial intelligence or machine learning.</li>
|
||||
<p><li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN-STK5000/index-eng.html" target="_blank">IN-STK5000 Adaptive Methods for Data-Based Decision Making</a>. Methods for adaptive collection and processing of data based on machine learning techniques.</li>
|
||||
<p><li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN5400/" target="_blank">IN5400/INF5860 Machine Learning for Image Analysis</a>. An introduction to deep learning with particular emphasis on applications within Image analysis, but useful for other application areas too.</li>
|
||||
<p><li> <a href="https://www.uio.no/studier/emner/matnat/its/TEK5040/" target="_blank">TEK5040 Deep learning for autonomous systems</a>. The course addresses advanced algorithms and architectures for deep learning with neural networks. The course provides an introduction to how deep-learning techniques can be used in the construction of key parts of advanced autonomous systems that exist in physical environments and cyber environments.</li>
|
||||
<p><li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN4310/index.html" target="_blank">IN3310/4310 Deep Learnig for Image Analysis</a></li>
|
||||
<p><li> <a href="https://www.uio.no/studier/emner/matnat/math/STK4051/index-eng.html" target="_blank">STK4051 Computational Statistics</a></li>
|
||||
<p><li> <a href="https://www.uio.no/studier/emner/matnat/math/STK4021/index-eng.html" target="_blank">STK4021 Applied Bayesian Analysis and Numerical Methods</a></li>
|
||||
</ol>
|
||||
|
||||
@@ -81,10 +81,10 @@ div.toc p,a {
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -303,9 +303,14 @@ MathJax.Hub.Config({
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
<h2 id="overview-of-first-week">Overview of first week </h2>
|
||||
|
||||
<p>The sessions on Tuesdays and Wednesdays last four hours and will include partly lectures in a flipped mode (promoting active learning) and work on exercices and projects.
|
||||
The sessions will begin with lectures and questions and answers about the material to be covered every week. There are four groups, Tuesdays 815am-12pm and 1215pm-4pm and
|
||||
Wednesdays 815am-12pm and 1215pm-4pm. Please sign up as soon as possible for one of the groups. Max capacity per group is 30-40 persons.
|
||||
<p>The sessions on Tuesdays and Wednesdays last four hours and will
|
||||
include partly lectures in a flipped mode (promoting active learning)
|
||||
and work on exercices and projects. The sessions will begin with
|
||||
lectures and questions and answers about the material to be covered
|
||||
every week. There are four groups, Tuesdays 815am-12pm and 1215pm-4pm
|
||||
and Wednesdays 815am-12pm and 1215pm-4pm. Please sign up as soon as
|
||||
possible for one of the groups. Max capacity per group is 30-40
|
||||
persons.
|
||||
</p>
|
||||
|
||||
<p>On Thursdays we have a regular lecture. These lectures start at 1215pm and end at 2pm.
|
||||
@@ -336,7 +341,7 @@ The first week we wtart with simple linear regression, a repetition of linear al
|
||||
<li> HTF: Hastie, Tibshirani, and Friedman, The Elements of Statistical Learning</li>
|
||||
<li> AG: Aurelien Geron, Hands‑On Machine Learning with Scikit‑Learn and TensorFlow</li>
|
||||
</ul>
|
||||
<p>Reading recommendations this week: Refresh linear algebra, GBC chapters 1 and 2. CMB sections 1.1 and 3.1. HTF chapters 2 and 3. Install scikit-learn. See lecture notes for week 34 at <a href="https://compphysics.github.io/MachineLearning/doc/web/course.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/web/course.html</tt></a></p>
|
||||
<p>Reading recommendations this week: Refresh linear algebra, GBC chapters 1 and 2. CMB sections 1.1 and 3.1. HTF chapters 2 and 3. Install scikit-learn. See lecture notes for week 34 at <a href="https://compphysics.github.io/MachineLearning/doc/web/course.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/web/course.html</tt></a> (these notes).</p>
|
||||
</div>
|
||||
|
||||
|
||||
@@ -401,6 +406,9 @@ The first week we wtart with simple linear regression, a repetition of linear al
|
||||
<li> <b>Office hours</b>: <em>Anytime</em>! Individual or group office hours can be arranged either in person or via zoom. Feel free to send an email for planning.</li>
|
||||
</ul>
|
||||
<li> Ida Torkjellsdatter Storehaug, i.t.storehaug@fys.uio.no</li>
|
||||
<li> Fahimeh Najafi,</li>
|
||||
<li> Mia K.O. Kvalsund,</li>
|
||||
<li> Karl Henrik Fredly,</li>
|
||||
</ul>
|
||||
</div>
|
||||
|
||||
@@ -413,9 +421,9 @@ The first week we wtart with simple linear regression, a repetition of linear al
|
||||
<p>
|
||||
|
||||
<ol>
|
||||
<li> Project 1: October 11 (available September 5) graded with feedback)</li>
|
||||
<li> Project 2: November 11 (available October 7, graded with feedback)</li>
|
||||
<li> Project 3: December 9 (available November 11, graded with feedback)</li>
|
||||
<li> Project 1: October 9 (available September 4) graded with feedback)</li>
|
||||
<li> Project 2: November 6 (available October 6, graded with feedback)</li>
|
||||
<li> Project 3: December 11 (available November 10, graded with feedback)</li>
|
||||
</ol>
|
||||
<p>Projects are handed in using <b>Canvas</b>. We use Github as repository for codes, benchmark calculations etc. Comments and feedback on projects only via <b>Canvas</b>. </p>
|
||||
</div>
|
||||
@@ -519,20 +527,30 @@ specifically, after this course you will
|
||||
|
||||
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
<h2 id="topics-covered-in-this-course-machine-learning">Topics covered in this course: Machine Learning </h2>
|
||||
<h2 id="topics-covered-in-this-course">Topics covered in this course </h2>
|
||||
|
||||
<div class="alert alert-block alert-block alert-text-normal">
|
||||
<b></b>
|
||||
<p>
|
||||
<p>The following topics will be covered</p>
|
||||
|
||||
<ul>
|
||||
<li> Linear Regression and Logistic Regression;</li>
|
||||
<li> Neural networks and deep learning, including convolutional and recurrent neural networks;</li>
|
||||
<li> Decisions trees, Random Forests, Bagging and Boosting;</li>
|
||||
<li> Support vector machines;</li>
|
||||
<li> Bayesian linear and logistic regression (tentative);</li>
|
||||
<li> Boltzmann Machines (tentative);</li>
|
||||
<li> Unsupervised learning Dimensionality reduction, from PCA to clustering;</li>
|
||||
<li> Pre deep-learning revolution (2008 approx)</li>
|
||||
<ul>
|
||||
<li> Linear Regression and Logistic Regression, classification and regression problems;</li>
|
||||
<li> Bayesian linear and logistic regression, kernel regression;</li>
|
||||
<li> Decisions trees, Random Forests, Bagging and Boosting methods;</li>
|
||||
<li> Support vector machines (only survey);</li>
|
||||
<li> Unsupervised learning and dimensionality reduction, from PCA to clustering;</li>
|
||||
</ul>
|
||||
<li> Deep learning</li>
|
||||
<ul>
|
||||
<li> Neural networks and deep learning;</li>
|
||||
<li> Convolutional neural networks;</li>
|
||||
<li> Recurrent neural networks;</li>
|
||||
<li> Autoencoders</li>
|
||||
<li> Generative methods with an emphasis on Boltzmann Machines, Variational Autoencoders and Generalized Adversarial Networks;</li>
|
||||
</ul>
|
||||
</ul>
|
||||
<p>Hands-on demonstrations, exercises and projects aim at deepening your understanding of these topics.</p>
|
||||
</div>
|
||||
@@ -555,17 +573,15 @@ specifically, after this course you will
|
||||
<h2 id="other-courses-on-data-science-and-machine-learning-at-uio">Other courses on Data science and Machine Learning at UiO </h2>
|
||||
|
||||
<p>The link here <a href="https://www.mn.uio.no/english/research/about/centre-focus/innovation/data-science/studies/" target="_blank"><tt>https://www.mn.uio.no/english/research/about/centre-focus/innovation/data-science/studies/</tt></a> gives an excellent overview of courses on Machine learning at UiO.</p>
|
||||
|
||||
<ol>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS5419/index-eng.html" target="_blank">FYS5419 Quantum Computing and Quantum Machine Learning</a></li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS5429/index-eng.html" target="_blank">FYS5429 Advanced Machine Learning for the Physical Sciences</a></li>
|
||||
<li> <a href="http://www.uio.no/studier/emner/matnat/math/STK2100/index-eng.html" target="_blank">STK2100 Machine learning and statistical methods for prediction and classification</a>.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN3050/index-eng.html" target="_blank">IN3050/4050 Introduction to Artificial Intelligence and Machine Learning</a>. Introductory course in machine learning and AI with an algorithmic approach.</li>
|
||||
<li> <a href="http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html" target="_blank">STK-INF3000/4000 Selected Topics in Data Science</a>. The course provides insight into selected contemporary relevant topics within Data Science.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN4080/index.html" target="_blank">IN4080 Natural Language Processing</a>. Probabilistic and machine learning techniques applied to natural language processing.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/index-eng.html" target="_blank">STK-IN4300 Statistical learning methods in Data Science</a>. An advanced introduction to statistical and machine learning. For students with a good mathematics and statistics background.</li>
|
||||
<li> <a href="http://www.uio.no/studier/emner/matnat/ifi/INF4490/" target="_blank">INF4490 Biologically Inspired Computing</a>. An introduction to self-adapting methods also called artificial intelligence or machine learning.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN-STK5000/index-eng.html" target="_blank">IN-STK5000 Adaptive Methods for Data-Based Decision Making</a>. Methods for adaptive collection and processing of data based on machine learning techniques.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN5400/" target="_blank">IN5400/INF5860 Machine Learning for Image Analysis</a>. An introduction to deep learning with particular emphasis on applications within Image analysis, but useful for other application areas too.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/its/TEK5040/" target="_blank">TEK5040 Deep learning for autonomous systems</a>. The course addresses advanced algorithms and architectures for deep learning with neural networks. The course provides an introduction to how deep-learning techniques can be used in the construction of key parts of advanced autonomous systems that exist in physical environments and cyber environments.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN4310/index.html" target="_blank">IN3310/4310 Deep Learnig for Image Analysis</a></li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/math/STK4051/index-eng.html" target="_blank">STK4051 Computational Statistics</a></li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/math/STK4021/index-eng.html" target="_blank">STK4021 Applied Bayesian Analysis and Numerical Methods</a></li>
|
||||
</ol>
|
||||
|
||||
@@ -158,10 +158,10 @@ div.toc p,a {
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
||||
('Topics covered in this course: Machine Learning',
|
||||
('Topics covered in this course',
|
||||
2,
|
||||
None,
|
||||
'topics-covered-in-this-course-machine-learning'),
|
||||
'topics-covered-in-this-course'),
|
||||
('Extremely useful tools, strongly recommended',
|
||||
2,
|
||||
None,
|
||||
@@ -380,9 +380,14 @@ MathJax.Hub.Config({
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
<h2 id="overview-of-first-week">Overview of first week </h2>
|
||||
|
||||
<p>The sessions on Tuesdays and Wednesdays last four hours and will include partly lectures in a flipped mode (promoting active learning) and work on exercices and projects.
|
||||
The sessions will begin with lectures and questions and answers about the material to be covered every week. There are four groups, Tuesdays 815am-12pm and 1215pm-4pm and
|
||||
Wednesdays 815am-12pm and 1215pm-4pm. Please sign up as soon as possible for one of the groups. Max capacity per group is 30-40 persons.
|
||||
<p>The sessions on Tuesdays and Wednesdays last four hours and will
|
||||
include partly lectures in a flipped mode (promoting active learning)
|
||||
and work on exercices and projects. The sessions will begin with
|
||||
lectures and questions and answers about the material to be covered
|
||||
every week. There are four groups, Tuesdays 815am-12pm and 1215pm-4pm
|
||||
and Wednesdays 815am-12pm and 1215pm-4pm. Please sign up as soon as
|
||||
possible for one of the groups. Max capacity per group is 30-40
|
||||
persons.
|
||||
</p>
|
||||
|
||||
<p>On Thursdays we have a regular lecture. These lectures start at 1215pm and end at 2pm.
|
||||
@@ -413,7 +418,7 @@ The first week we wtart with simple linear regression, a repetition of linear al
|
||||
<li> HTF: Hastie, Tibshirani, and Friedman, The Elements of Statistical Learning</li>
|
||||
<li> AG: Aurelien Geron, Hands‑On Machine Learning with Scikit‑Learn and TensorFlow</li>
|
||||
</ul>
|
||||
<p>Reading recommendations this week: Refresh linear algebra, GBC chapters 1 and 2. CMB sections 1.1 and 3.1. HTF chapters 2 and 3. Install scikit-learn. See lecture notes for week 34 at <a href="https://compphysics.github.io/MachineLearning/doc/web/course.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/web/course.html</tt></a></p>
|
||||
<p>Reading recommendations this week: Refresh linear algebra, GBC chapters 1 and 2. CMB sections 1.1 and 3.1. HTF chapters 2 and 3. Install scikit-learn. See lecture notes for week 34 at <a href="https://compphysics.github.io/MachineLearning/doc/web/course.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/web/course.html</tt></a> (these notes).</p>
|
||||
</div>
|
||||
|
||||
|
||||
@@ -478,6 +483,9 @@ The first week we wtart with simple linear regression, a repetition of linear al
|
||||
<li> <b>Office hours</b>: <em>Anytime</em>! Individual or group office hours can be arranged either in person or via zoom. Feel free to send an email for planning.</li>
|
||||
</ul>
|
||||
<li> Ida Torkjellsdatter Storehaug, i.t.storehaug@fys.uio.no</li>
|
||||
<li> Fahimeh Najafi,</li>
|
||||
<li> Mia K.O. Kvalsund,</li>
|
||||
<li> Karl Henrik Fredly,</li>
|
||||
</ul>
|
||||
</div>
|
||||
|
||||
@@ -490,9 +498,9 @@ The first week we wtart with simple linear regression, a repetition of linear al
|
||||
<p>
|
||||
|
||||
<ol>
|
||||
<li> Project 1: October 11 (available September 5) graded with feedback)</li>
|
||||
<li> Project 2: November 11 (available October 7, graded with feedback)</li>
|
||||
<li> Project 3: December 9 (available November 11, graded with feedback)</li>
|
||||
<li> Project 1: October 9 (available September 4) graded with feedback)</li>
|
||||
<li> Project 2: November 6 (available October 6, graded with feedback)</li>
|
||||
<li> Project 3: December 11 (available November 10, graded with feedback)</li>
|
||||
</ol>
|
||||
<p>Projects are handed in using <b>Canvas</b>. We use Github as repository for codes, benchmark calculations etc. Comments and feedback on projects only via <b>Canvas</b>. </p>
|
||||
</div>
|
||||
@@ -596,20 +604,30 @@ specifically, after this course you will
|
||||
|
||||
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
<h2 id="topics-covered-in-this-course-machine-learning">Topics covered in this course: Machine Learning </h2>
|
||||
<h2 id="topics-covered-in-this-course">Topics covered in this course </h2>
|
||||
|
||||
<div class="alert alert-block alert-block alert-text-normal">
|
||||
<b></b>
|
||||
<p>
|
||||
<p>The following topics will be covered</p>
|
||||
|
||||
<ul>
|
||||
<li> Linear Regression and Logistic Regression;</li>
|
||||
<li> Neural networks and deep learning, including convolutional and recurrent neural networks;</li>
|
||||
<li> Decisions trees, Random Forests, Bagging and Boosting;</li>
|
||||
<li> Support vector machines;</li>
|
||||
<li> Bayesian linear and logistic regression (tentative);</li>
|
||||
<li> Boltzmann Machines (tentative);</li>
|
||||
<li> Unsupervised learning Dimensionality reduction, from PCA to clustering;</li>
|
||||
<li> Pre deep-learning revolution (2008 approx)</li>
|
||||
<ul>
|
||||
<li> Linear Regression and Logistic Regression, classification and regression problems;</li>
|
||||
<li> Bayesian linear and logistic regression, kernel regression;</li>
|
||||
<li> Decisions trees, Random Forests, Bagging and Boosting methods;</li>
|
||||
<li> Support vector machines (only survey);</li>
|
||||
<li> Unsupervised learning and dimensionality reduction, from PCA to clustering;</li>
|
||||
</ul>
|
||||
<li> Deep learning</li>
|
||||
<ul>
|
||||
<li> Neural networks and deep learning;</li>
|
||||
<li> Convolutional neural networks;</li>
|
||||
<li> Recurrent neural networks;</li>
|
||||
<li> Autoencoders</li>
|
||||
<li> Generative methods with an emphasis on Boltzmann Machines, Variational Autoencoders and Generalized Adversarial Networks;</li>
|
||||
</ul>
|
||||
</ul>
|
||||
<p>Hands-on demonstrations, exercises and projects aim at deepening your understanding of these topics.</p>
|
||||
</div>
|
||||
@@ -632,17 +650,15 @@ specifically, after this course you will
|
||||
<h2 id="other-courses-on-data-science-and-machine-learning-at-uio">Other courses on Data science and Machine Learning at UiO </h2>
|
||||
|
||||
<p>The link here <a href="https://www.mn.uio.no/english/research/about/centre-focus/innovation/data-science/studies/" target="_blank"><tt>https://www.mn.uio.no/english/research/about/centre-focus/innovation/data-science/studies/</tt></a> gives an excellent overview of courses on Machine learning at UiO.</p>
|
||||
|
||||
<ol>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS5419/index-eng.html" target="_blank">FYS5419 Quantum Computing and Quantum Machine Learning</a></li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS5429/index-eng.html" target="_blank">FYS5429 Advanced Machine Learning for the Physical Sciences</a></li>
|
||||
<li> <a href="http://www.uio.no/studier/emner/matnat/math/STK2100/index-eng.html" target="_blank">STK2100 Machine learning and statistical methods for prediction and classification</a>.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN3050/index-eng.html" target="_blank">IN3050/4050 Introduction to Artificial Intelligence and Machine Learning</a>. Introductory course in machine learning and AI with an algorithmic approach.</li>
|
||||
<li> <a href="http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html" target="_blank">STK-INF3000/4000 Selected Topics in Data Science</a>. The course provides insight into selected contemporary relevant topics within Data Science.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN4080/index.html" target="_blank">IN4080 Natural Language Processing</a>. Probabilistic and machine learning techniques applied to natural language processing.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/index-eng.html" target="_blank">STK-IN4300 Statistical learning methods in Data Science</a>. An advanced introduction to statistical and machine learning. For students with a good mathematics and statistics background.</li>
|
||||
<li> <a href="http://www.uio.no/studier/emner/matnat/ifi/INF4490/" target="_blank">INF4490 Biologically Inspired Computing</a>. An introduction to self-adapting methods also called artificial intelligence or machine learning.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN-STK5000/index-eng.html" target="_blank">IN-STK5000 Adaptive Methods for Data-Based Decision Making</a>. Methods for adaptive collection and processing of data based on machine learning techniques.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN5400/" target="_blank">IN5400/INF5860 Machine Learning for Image Analysis</a>. An introduction to deep learning with particular emphasis on applications within Image analysis, but useful for other application areas too.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/its/TEK5040/" target="_blank">TEK5040 Deep learning for autonomous systems</a>. The course addresses advanced algorithms and architectures for deep learning with neural networks. The course provides an introduction to how deep-learning techniques can be used in the construction of key parts of advanced autonomous systems that exist in physical environments and cyber environments.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN4310/index.html" target="_blank">IN3310/4310 Deep Learnig for Image Analysis</a></li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/math/STK4051/index-eng.html" target="_blank">STK4051 Computational Statistics</a></li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/math/STK4021/index-eng.html" target="_blank">STK4021 Applied Bayesian Analysis and Numerical Methods</a></li>
|
||||
</ol>
|
||||
|
||||
Binary file not shown.
+365
-346
File diff suppressed because it is too large
Load Diff
@@ -7,9 +7,14 @@ DATE: Week 34, August 21-25, 2021
|
||||
!split
|
||||
===== Overview of first week =====
|
||||
|
||||
The sessions on Tuesdays and Wednesdays last four hours and will include partly lectures in a flipped mode (promoting active learning) and work on exercices and projects.
|
||||
The sessions will begin with lectures and questions and answers about the material to be covered every week. There are four groups, Tuesdays 815am-12pm and 1215pm-4pm and
|
||||
Wednesdays 815am-12pm and 1215pm-4pm. Please sign up as soon as possible for one of the groups. Max capacity per group is 30-40 persons.
|
||||
The sessions on Tuesdays and Wednesdays last four hours and will
|
||||
include partly lectures in a flipped mode (promoting active learning)
|
||||
and work on exercices and projects. The sessions will begin with
|
||||
lectures and questions and answers about the material to be covered
|
||||
every week. There are four groups, Tuesdays 815am-12pm and 1215pm-4pm
|
||||
and Wednesdays 815am-12pm and 1215pm-4pm. Please sign up as soon as
|
||||
possible for one of the groups. Max capacity per group is 30-40
|
||||
persons.
|
||||
|
||||
On Thursdays we have a regular lecture. These lectures start at 1215pm and end at 2pm.
|
||||
The first week we wtart with simple linear regression, a repetition of linear algebra and elements of statistics needed for the course.
|
||||
@@ -31,7 +36,7 @@ For the reading assignments we use the following abbreviations:
|
||||
* HTF: Hastie, Tibshirani, and Friedman, The Elements of Statistical Learning
|
||||
* AG: Aurelien Geron, Hands‑On Machine Learning with Scikit‑Learn and TensorFlow
|
||||
|
||||
Reading recommendations this week: Refresh linear algebra, GBC chapters 1 and 2. CMB sections 1.1 and 3.1. HTF chapters 2 and 3. Install scikit-learn. See lecture notes for week 34 at https://compphysics.github.io/MachineLearning/doc/web/course.html
|
||||
Reading recommendations this week: Refresh linear algebra, GBC chapters 1 and 2. CMB sections 1.1 and 3.1. HTF chapters 2 and 3. Install scikit-learn. See lecture notes for week 34 at https://compphysics.github.io/MachineLearning/doc/web/course.html (these notes).
|
||||
!eblock
|
||||
|
||||
|
||||
@@ -85,7 +90,9 @@ _Teachers :_
|
||||
* _Office hours_: *Anytime*! Individual or group office hours can be arranged either in person or via zoom. Feel free to send an email for planning.
|
||||
|
||||
* Ida Torkjellsdatter Storehaug, i.t.storehaug@fys.uio.no
|
||||
|
||||
* Fahimeh Najafi,
|
||||
* Mia K.O. Kvalsund,
|
||||
* Karl Henrik Fredly,
|
||||
|
||||
|
||||
!eblock
|
||||
@@ -95,9 +102,9 @@ _Teachers :_
|
||||
|
||||
!bblock
|
||||
|
||||
o Project 1: October 11 (available September 5) graded with feedback)
|
||||
o Project 2: November 11 (available October 7, graded with feedback)
|
||||
o Project 3: December 9 (available November 11, graded with feedback)
|
||||
o Project 1: October 9 (available September 4) graded with feedback)
|
||||
o Project 2: November 6 (available October 6, graded with feedback)
|
||||
o Project 3: December 11 (available November 10, graded with feedback)
|
||||
|
||||
Projects are handed in using _Canvas_. We use Github as repository for codes, benchmark calculations etc. Comments and feedback on projects only via _Canvas_.
|
||||
|
||||
@@ -197,17 +204,24 @@ We plan to cover the following topics:
|
||||
|
||||
|
||||
!split
|
||||
===== Topics covered in this course: Machine Learning =====
|
||||
===== Topics covered in this course =====
|
||||
|
||||
!bblock
|
||||
The following topics will be covered
|
||||
* Linear Regression and Logistic Regression;
|
||||
* Neural networks and deep learning, including convolutional and recurrent neural networks;
|
||||
* Decisions trees, Random Forests, Bagging and Boosting;
|
||||
* Support vector machines;
|
||||
* Bayesian linear and logistic regression (tentative);
|
||||
* Boltzmann Machines (tentative);
|
||||
* Unsupervised learning Dimensionality reduction, from PCA to clustering;
|
||||
|
||||
* Pre deep-learning revolution (2008 approx)
|
||||
* Linear Regression and Logistic Regression, classification and regression problems;
|
||||
* Bayesian linear and logistic regression, kernel regression;
|
||||
* Decisions trees, Random Forests, Bagging and Boosting methods;
|
||||
* Support vector machines (only survey);
|
||||
* Unsupervised learning and dimensionality reduction, from PCA to clustering;
|
||||
* Deep learning
|
||||
* Neural networks and deep learning;
|
||||
* Convolutional neural networks;
|
||||
* Recurrent neural networks;
|
||||
* Autoencoders
|
||||
* Generative methods with an emphasis on Boltzmann Machines, Variational Autoencoders and Generalized Adversarial Networks;
|
||||
|
||||
|
||||
Hands-on demonstrations, exercises and projects aim at deepening your understanding of these topics.
|
||||
|
||||
@@ -230,21 +244,18 @@ Hands-on demonstrations, exercises and projects aim at deepening your understand
|
||||
===== Other courses on Data science and Machine Learning at UiO =====
|
||||
|
||||
The link here URL:"https://www.mn.uio.no/english/research/about/centre-focus/innovation/data-science/studies/" gives an excellent overview of courses on Machine learning at UiO.
|
||||
|
||||
o "FYS5419 Quantum Computing and Quantum Machine Learning":"https://www.uio.no/studier/emner/matnat/fys/FYS5419/index-eng.html"
|
||||
o "FYS5429 Advanced Machine Learning for the Physical Sciences":"https://www.uio.no/studier/emner/matnat/fys/FYS5429/index-eng.html"
|
||||
o "STK2100 Machine learning and statistical methods for prediction and classification":"http://www.uio.no/studier/emner/matnat/math/STK2100/index-eng.html".
|
||||
o "IN3050/4050 Introduction to Artificial Intelligence and Machine Learning":"https://www.uio.no/studier/emner/matnat/ifi/IN3050/index-eng.html". Introductory course in machine learning and AI with an algorithmic approach.
|
||||
o "STK-INF3000/4000 Selected Topics in Data Science":"http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html". The course provides insight into selected contemporary relevant topics within Data Science.
|
||||
o "IN4080 Natural Language Processing":"https://www.uio.no/studier/emner/matnat/ifi/IN4080/index.html". Probabilistic and machine learning techniques applied to natural language processing.
|
||||
o "STK-IN4300 Statistical learning methods in Data Science":"https://www.uio.no/studier/emner/matnat/math/STK-IN4300/index-eng.html". An advanced introduction to statistical and machine learning. For students with a good mathematics and statistics background.
|
||||
o "INF4490 Biologically Inspired Computing":"http://www.uio.no/studier/emner/matnat/ifi/INF4490/". An introduction to self-adapting methods also called artificial intelligence or machine learning.
|
||||
o "IN-STK5000 Adaptive Methods for Data-Based Decision Making":"https://www.uio.no/studier/emner/matnat/ifi/IN-STK5000/index-eng.html". Methods for adaptive collection and processing of data based on machine learning techniques.
|
||||
o "IN5400/INF5860 Machine Learning for Image Analysis":"https://www.uio.no/studier/emner/matnat/ifi/IN5400/". An introduction to deep learning with particular emphasis on applications within Image analysis, but useful for other application areas too.
|
||||
o "TEK5040 Deep learning for autonomous systems":"https://www.uio.no/studier/emner/matnat/its/TEK5040/". The course addresses advanced algorithms and architectures for deep learning with neural networks. The course provides an introduction to how deep-learning techniques can be used in the construction of key parts of advanced autonomous systems that exist in physical environments and cyber environments.
|
||||
o "IN3310/4310 Deep Learnig for Image Analysis":"https://www.uio.no/studier/emner/matnat/ifi/IN4310/index.html"
|
||||
o "STK4051 Computational Statistics":"https://www.uio.no/studier/emner/matnat/math/STK4051/index-eng.html"
|
||||
o "STK4021 Applied Bayesian Analysis and Numerical Methods":"https://www.uio.no/studier/emner/matnat/math/STK4021/index-eng.html"
|
||||
|
||||
|
||||
|
||||
!split
|
||||
===== Introduction =====
|
||||
|
||||
|
||||
Reference in New Issue
Block a user