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Morten Hjorth-Jensen
2021-09-24 15:22:41 +02:00
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README.md
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@@ -310,7 +310,7 @@ Recommended prereading: Chapters 1-2 (linear algebra) and chapter 3 (statistics)
- Lecture Thursday: Classification problems and Logistic Regression, from binary cases to several categories
- Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h21/forelesningsvideoer/LectureSeptember23.mp4?vrtx=view-as-webpage
- Lecture Friday: Logistic Regression and start discussions of gradient optimization
- Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureSeptember24.mp4?vrtx=view-as-webpage
- Reading recommendations:
- See lecture notes for week 38 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
- Bishop 4.1, 4.2 and 4.3. Not all the material is relevant or will be covered. Section 4.3 is the most relevant, but 4.1 and 4.2 give interesting background readings for logistic regression
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doc/LectureNotes/_build/html/_sources/schedule.md
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@@ -80,7 +80,7 @@ For the reading assignments we use the following abbreviations:
- Lecture Thursday: Classification problems and Logistic Regression, from binary cases to several categories
- Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h21/forelesningsvideoer/LectureSeptember23.mp4?vrtx=view-as-webpage
- Lecture Friday: Logistic Regression and gradient optimization
- Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureSeptember24.mp4?vrtx=view-as-webpage
- Reading recommendations:
- See lecture notes for week 38 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
- Bishop 4.1, 4.2 and 4.3. Not all the material is relevant or will be covered. Section 4.3 is the most relevant, but 4.1 and 4.2 give interesting background readings for logistic regression
doc/LectureNotes/_build/html/schedule.html
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@@ -494,7 +494,11 @@
<li><p>Video of Lecture at <a class="reference external" href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h21/forelesningsvideoer/LectureSeptember23.mp4?vrtx=view-as-webpage">https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h21/forelesningsvideoer/LectureSeptember23.mp4?vrtx=view-as-webpage</a></p></li>
</ul>
</li>
<li><p>Lecture Friday: Logistic Regression and gradient optimization</p></li>
<li><p>Lecture Friday: Logistic Regression and gradient optimization</p>
<ul>
<li><p>Video of Lecture at <a class="reference external" href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureSeptember24.mp4?vrtx=view-as-webpage">https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureSeptember24.mp4?vrtx=view-as-webpage</a></p></li>
</ul>
</li>
<li><p>Reading recommendations:</p>
<ul>
<li><p>See lecture notes for week 38 at <a class="reference external" href="https://compphysics.github.io/MachineLearning/doc/web/course.html">https://compphysics.github.io/MachineLearning/doc/web/course.html</a>.</p></li>
doc/LectureNotes/_build/html/searchindex.js
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doc/LectureNotes/schedule.md
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@@ -80,7 +80,7 @@ For the reading assignments we use the following abbreviations:
- Lecture Thursday: Classification problems and Logistic Regression, from binary cases to several categories
- Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h21/forelesningsvideoer/LectureSeptember23.mp4?vrtx=view-as-webpage
- Lecture Friday: Logistic Regression and gradient optimization
- Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureSeptember24.mp4?vrtx=view-as-webpage
- Reading recommendations:
- See lecture notes for week 38 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
- Bishop 4.1, 4.2 and 4.3. Not all the material is relevant or will be covered. Section 4.3 is the most relevant, but 4.1 and 4.2 give interesting background readings for logistic regression