update with video

2024-08-27 14:53:30 +02:00
parent 2c4a301729
commit b632f7ea45
8 changed files with 1675 additions and 896 deletions
@@ -376,6 +376,7 @@ MathJax.Hub.Config({
 <ol>
 <li> These lecture notes</li>
 <li> <a href="https://youtu.be/VKakN-e4aUA" target="_self">Video of lecture</a></li>
+ <li> <a href="https://youtu.be/yiY0OltU1s8" target="_self">Video for exercises week 35</a></li>
 <li> Goodfellow, Bengio and Courville, Deep Learning, chapter 2 on linear algebra and sections 3.1-3.10 on elements of statistics (background)</li>
 <li> Raschka et al on preprocessing of data, relevant for exercise 3 this week, see chapter 4.</li>
 <li> For exercise 1 of week 35, the book by A. Aldo Faisal, Cheng Soon Ong, and Marc Peter Deisenroth on the Mathematics of Machine Learning, may be very relevant. In particular chapter 5 at URL"https://mml-book.github.io/" (section 5.5 on derivatives) is very useful for exercise 1 this coming week.</li>
@@ -209,6 +209,7 @@ MathJax.Hub.Config({
 <ol>
 <p><li> These lecture notes</li>
 <p><li> <a href="https://youtu.be/VKakN-e4aUA" target="_blank">Video of lecture</a></li>
+ <p><li> <a href="https://youtu.be/yiY0OltU1s8" target="_blank">Video for exercises week 35</a></li>
 <p><li> Goodfellow, Bengio and Courville, Deep Learning, chapter 2 on linear algebra and sections 3.1-3.10 on elements of statistics (background)</li>
 <p><li> Raschka et al on preprocessing of data, relevant for exercise 3 this week, see chapter 4.</li>
 <p><li> For exercise 1 of week 35, the book by A. Aldo Faisal, Cheng Soon Ong, and Marc Peter Deisenroth on the Mathematics of Machine Learning, may be very relevant. In particular chapter 5 at URL"https://mml-book.github.io/" (section 5.5 on derivatives) is very useful for exercise 1 this coming week.</li>
@@ -325,6 +325,7 @@ MathJax.Hub.Config({
 <ol>
 <li> These lecture notes</li>
 <li> <a href="https://youtu.be/VKakN-e4aUA" target="_blank">Video of lecture</a></li>
+ <li> <a href="https://youtu.be/yiY0OltU1s8" target="_blank">Video for exercises week 35</a></li>
 <li> Goodfellow, Bengio and Courville, Deep Learning, chapter 2 on linear algebra and sections 3.1-3.10 on elements of statistics (background)</li>
 <li> Raschka et al on preprocessing of data, relevant for exercise 3 this week, see chapter 4.</li>
 <li> For exercise 1 of week 35, the book by A. Aldo Faisal, Cheng Soon Ong, and Marc Peter Deisenroth on the Mathematics of Machine Learning, may be very relevant. In particular chapter 5 at URL"https://mml-book.github.io/" (section 5.5 on derivatives) is very useful for exercise 1 this coming week.</li>
@@ -402,6 +402,7 @@ MathJax.Hub.Config({
 <ol>
 <li> These lecture notes</li>
 <li> <a href="https://youtu.be/VKakN-e4aUA" target="_blank">Video of lecture</a></li>
+ <li> <a href="https://youtu.be/yiY0OltU1s8" target="_blank">Video for exercises week 35</a></li>
 <li> Goodfellow, Bengio and Courville, Deep Learning, chapter 2 on linear algebra and sections 3.1-3.10 on elements of statistics (background)</li>
 <li> Raschka et al on preprocessing of data, relevant for exercise 3 this week, see chapter 4.</li>
 <li> For exercise 1 of week 35, the book by A. Aldo Faisal, Cheng Soon Ong, and Marc Peter Deisenroth on the Mathematics of Machine Learning, may be very relevant. In particular chapter 5 at URL"https://mml-book.github.io/" (section 5.5 on derivatives) is very useful for exercise 1 this coming week.</li>
@@ -18,6 +18,7 @@ o Monday: Ridge and Lasso regression and Singular Value Decomposition

  o These lecture notes
  o "Video of lecture":"https://youtu.be/VKakN-e4aUA"
+  o "Video for exercises week 35":"https://youtu.be/yiY0OltU1s8"
  o Goodfellow, Bengio and Courville, Deep Learning, chapter 2 on linear algebra and sections 3.1-3.10 on elements of statistics (background)
  o Raschka et al on preprocessing of data, relevant for exercise 3 this week, see chapter 4.
  o For exercise 1 of week 35, the book by A. Aldo Faisal, Cheng Soon Ong, and Marc Peter Deisenroth on the Mathematics of Machine Learning, may be very relevant. In particular chapter 5 at URL"https://mml-book.github.io/" (section 5.5 on derivatives) is very useful for exercise 1 this coming week.