LASA - Machine Learning Courses

Aude Billard, École polytechnique fédérale de Lausanne (EPFL)

1 April 2020, 56 videos, 27772 views, Open Channel, Podcast RSS feed

This channel contains lectures in support of the following three EPFL Master-level courses I teach at EPFL:

  • Applied Machine Learning
  • Machine Learning Programming
  • Advanced Machine Learning

These videos are to be watched prior to coming to class. Please, check the class's website to know which video you should watch first. 

These videos are made available to the public, so that researchers world-wide can benefit from this material. This is meant especially for those who have to study from home, or those from countries with limited access to education.  

Beware that these videos are meant to be used in flipped classes. The video lectures are complemented with live interactive exercise sessions and practice sessions, given to EPFL students.

Enjoy and do not hesitate to send feedback: aude.billard@epfl.ch

Viewable by everyone.

11:27

Lecture 6 | Part 7, Pros & Cons of SVM

4 November 2020, 605 views

5:27

Lecture 6 | Part 7, SVM Summary

3 November 2020, 17 views

29:10

Lecture 7 | Part 1, Neural Networks: Perceptron

10 November 2020, 520 views

28:13

Lecture 7 | Part 2, Neural Networks: Multi-layers

10 November 2020, 467 views

32:41

Lecture 7 | Part 3, Deep neural networks and more

10 November 2020, 340 views

6:09

Lecture 8 | Part 1, Regression Introduction

21 November 2020, 607 views

14:05

Lecture 8 | Part 2 , Linear & Weighted Regression

22 November 2020, 616 views

11:44

Lecture 8 | Part 3, Ridge Regression

14 May 2021, 18 views

26:05

Lecture 8 | Part 3, Support Vector Regression (SVR)

23 November 2020, 746 views

24:15

Lecture 9 | Part 1, Gaussian Mixture Regression

2 December 2020, 920 views

11:13

Lecture 9 | Part 2, Comparison-GMR-SV

2 December 2020, 545 views

26:01

Lecture 11 | (Lec 2) Advanced Machine Learning, Kernel PCA

1 March 2021, 212 views

28:18

Lecture 12 | Part 1 (Advanced Machine Learning), Linear and kernel CCA

12 June 2021, 109 views

21:49

Lecture 13 | (Lec 3) Advanced Machine Learning, Kernel K-means

14 March 2021, 179 views

50:15

Lecture 13 - Live lecture in 2020, Lecture 13 - Kernel K-means

9 April 2020, 92 views

1:13:29

Lecture 14 | Advanced Machine Learning Course, Spectral Clustering - Live lecture 2020

10 April 2020, 50 views

26:53

Lecture 14 | (Lec 4) Advanced Machine Learning, Spectral Clustering and Laplacian Eigenmaps

23 March 2021, 163 views

9:42

Lecture 15 | Part 2 - (Lec 5) Advanced Machine Learning Course, Nu-SVM

5 April 2020, 175 views

24:27

Lecture 15 | Part 3 - (Lec 5) Advanced Machine Learning Course, RVM | Relevance Vector Machine

6 April 2020, 315 views

12:28

Lecture 15 | Part 4 - (Lec 5) Advanced Machine Learning Course, Semi-supervised Clustering: Transductive SVM

6 April 2020, 168 views

15:56

Lecture 15 | Part 5 (Lec 5) Advanced Machine Learning Course, Support Vector Clustering: SVC

6 April 2020, 147 views

35:40

Lecture 16 | Part 1 - Advanced Machine Learning Course, Brief review of C-SVM

5 April 2020, 52 views

16:13

Lecture 16 | Part 1 - (Lec 6) Advanced Machine Learning , Bagging

24 April 2020, 147 views

25:03

Lecture 16 | Part 2 - (Lec 6) Advanced Machine Learning , Boosting

24 April 2020, 144 views

18:26

Lecture 16 | Part 3 - (Lec 6) Advanced Machine Learning , Features Selections

24 April 2020, 104 views

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