lars/FYS-STK4155
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

added video link

Browse Source
This commit is contained in:
Morten Hjorth-Jensen
2023-09-21 15:01:33 +02:00
parent eb9f0a7881
commit d72b7c37ec
7 changed files with 738 additions and 385 deletions
Download Patch File Download Diff File Expand all files Collapse all files
doc/pub/week38/html/._week38-bs001.html
+2
View File
@@ -327,6 +327,8 @@ MathJax.Hub.Config({
<ul>
<li> Logistic regression as our first encounter of classification methods. From binary cases to several categories.</li>
<li> Start gradient and optimization methods</li>
<li> <a href="https://youtu.be/cJrSwRsVSGM" target="_self">Video of lecture</a></li>
<li> Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep21.pdf" target="_self"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep21.pdf</tt></a></li>
<li> Readings and Videos:</li>
<ul>
<li> Hastie et al 4.1, 4.2 and 4.3 on logistic regression</li>
doc/pub/week38/html/week38-reveal.html
+4
View File
@@ -221,6 +221,10 @@ MathJax.Hub.Config({
<p><li> Start gradient and optimization methods</li>
<p><li> <a href="https://youtu.be/cJrSwRsVSGM" target="_blank">Video of lecture</a></li>
<p><li> Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep21.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep21.pdf</tt></a></li>
<p><li> Readings and Videos:</li>
<ul>
doc/pub/week38/html/week38-solarized.html
+2
View File
@@ -288,6 +288,8 @@ MathJax.Hub.Config({
<ul>
<li> Logistic regression as our first encounter of classification methods. From binary cases to several categories.</li>
<li> Start gradient and optimization methods</li>
<li> <a href="https://youtu.be/cJrSwRsVSGM" target="_blank">Video of lecture</a></li>
<li> Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep21.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep21.pdf</tt></a></li>
<li> Readings and Videos:</li>
<ul>
<li> Hastie et al 4.1, 4.2 and 4.3 on logistic regression</li>
doc/pub/week38/html/week38.html
+2
View File
@@ -365,6 +365,8 @@ MathJax.Hub.Config({
<ul>
<li> Logistic regression as our first encounter of classification methods. From binary cases to several categories.</li>
<li> Start gradient and optimization methods</li>
<li> <a href="https://youtu.be/cJrSwRsVSGM" target="_blank">Video of lecture</a></li>
<li> Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep21.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep21.pdf</tt></a></li>
<li> Readings and Videos:</li>
<ul>
<li> Hastie et al 4.1, 4.2 and 4.3 on logistic regression</li>
doc/pub/week38/ipynb/ipynb-week38-src.tar.gz
BIN
View File
Binary file not shown.
doc/pub/week38/ipynb/week38.ipynb
+726 -385
View File
File diff suppressed because one or more lines are too long
doc/src/week38/week38.do.txt
+2
View File
@@ -17,6 +17,8 @@ DATE: September 18-22
!bblock Material for the lecture on Thursday September 21
* Logistic regression as our first encounter of classification methods. From binary cases to several categories.
* Start gradient and optimization methods
* "Video of lecture":"https://youtu.be/cJrSwRsVSGM"
* Whiteboard notes at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep21.pdf"
* Readings and Videos:
* Hastie et al 4.1, 4.2 and 4.3 on logistic regression
* For a good discussion on gradient methods, see Goodfellow et al section 4.3-4.5 and chapter 8. We will come back to the latter chapter in our discussion of Neural networks as well.