small update on textbook
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@@ -46,25 +46,26 @@ Automatically generated HTML file from DocOnce source
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('Course Format', 2, None, '___sec2'),
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('Teachers', 2, None, '___sec3'),
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('Deadlines for projects (tentative)', 2, None, '___sec4'),
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('Prerequisites', 2, None, '___sec5'),
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('Learning outcomes', 2, None, '___sec6'),
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('Recommended textbooks', 2, None, '___sec5'),
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('Prerequisites', 2, None, '___sec6'),
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('Learning outcomes', 2, None, '___sec7'),
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('Topics covered in this course: Statistical analysis and '
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'optimization of data',
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2,
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None,
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'___sec7'),
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'___sec8'),
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('Topics covered in this course: Machine Learning',
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2,
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None,
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'___sec8'),
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'___sec9'),
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('Extremely useful tools, strongly recommended',
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2,
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None,
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'___sec9'),
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'___sec10'),
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('Other courses on Data science and Machine Learning at UiO',
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2,
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None,
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'___sec10')]}
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'___sec11')]}
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end of tocinfo -->
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<body>
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@@ -91,12 +92,13 @@ end of tocinfo -->
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<!-- navigation toc: --> <li><a href="._Intro2Course-bs003.html#___sec2" style="font-size: 80%;">Course Format</a></li>
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<!-- navigation toc: --> <li><a href="._Intro2Course-bs004.html#___sec3" style="font-size: 80%;">Teachers</a></li>
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<!-- navigation toc: --> <li><a href="._Intro2Course-bs005.html#___sec4" style="font-size: 80%;">Deadlines for projects (tentative)</a></li>
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<!-- navigation toc: --> <li><a href="#___sec5" style="font-size: 80%;">Prerequisites</a></li>
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<!-- navigation toc: --> <li><a href="._Intro2Course-bs007.html#___sec6" style="font-size: 80%;">Learning outcomes</a></li>
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<!-- navigation toc: --> <li><a href="._Intro2Course-bs008.html#___sec7" style="font-size: 80%;">Topics covered in this course: Statistical analysis and optimization of data</a></li>
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<!-- navigation toc: --> <li><a href="._Intro2Course-bs009.html#___sec8" style="font-size: 80%;">Topics covered in this course: Machine Learning</a></li>
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<!-- navigation toc: --> <li><a href="._Intro2Course-bs010.html#___sec9" style="font-size: 80%;">Extremely useful tools, strongly recommended</a></li>
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<!-- navigation toc: --> <li><a href="._Intro2Course-bs011.html#___sec10" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
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<!-- navigation toc: --> <li><a href="#___sec5" style="font-size: 80%;">Recommended textbooks</a></li>
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<!-- navigation toc: --> <li><a href="._Intro2Course-bs007.html#___sec6" style="font-size: 80%;">Prerequisites</a></li>
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<!-- navigation toc: --> <li><a href="._Intro2Course-bs008.html#___sec7" style="font-size: 80%;">Learning outcomes</a></li>
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<!-- navigation toc: --> <li><a href="._Intro2Course-bs009.html#___sec8" style="font-size: 80%;">Topics covered in this course: Statistical analysis and optimization of data</a></li>
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<!-- navigation toc: --> <li><a href="._Intro2Course-bs010.html#___sec9" style="font-size: 80%;">Topics covered in this course: Machine Learning</a></li>
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<!-- navigation toc: --> <li><a href="._Intro2Course-bs011.html#___sec10" style="font-size: 80%;">Extremely useful tools, strongly recommended</a></li>
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<!-- navigation toc: --> <li><a href="._Intro2Course-bs012.html#___sec11" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
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</ul>
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</li>
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@@ -112,20 +114,13 @@ end of tocinfo -->
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<a name="part0006"></a>
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<!-- !split -->
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<h2 id="___sec5" class="anchor">Prerequisites </h2>
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<h2 id="___sec5" class="anchor">Recommended textbooks </h2>
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<p>
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Basic knowledge in programming and mathematics, with an emphasis on
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linear algebra. Knowledge of Python or/and C++ as programming
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languages is strongly recommended and experience with Jupiter notebook
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is recommended. Required courses are the equivalents to the University
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of Oslo mathematics courses MAT1100, MAT1110, MAT1120 and at least one
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of the corresponding computing and programming courses INF1000/INF1110
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or MAT-INF1100/MAT-INF1100L/BIOS1100/KJM-INF1100. Most universities
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offer nowadays a basic programming course (often compulsory) where
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Python is the recurring programming language.
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<ul>
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<li> <a href="https://www.springer.com/gp/book/9780387848570" target="_self">Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, The Elements of Statistical Learning, Springer</a></li>
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<li> <a href="https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/" target="_self">Aurelien Geron, Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition</a></li>
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</ul>
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<p>
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<p>
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<!-- navigation buttons at the bottom of the page -->
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<ul class="pagination">
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@@ -142,6 +137,7 @@ Python is the recurring programming language.
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<li><a href="._Intro2Course-bs009.html">10</a></li>
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<li><a href="._Intro2Course-bs010.html">11</a></li>
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<li><a href="._Intro2Course-bs011.html">12</a></li>
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<li><a href="._Intro2Course-bs012.html">13</a></li>
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<li><a href="._Intro2Course-bs007.html">»</a></li>
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</ul>
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<!-- ------------------- end of main content --------------- -->
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