LASA - Machine Learning Courses

Aude Billard, École polytechnique fédérale de Lausanne (EPFL)

1 April 2020, 56 videos, 28598 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.

35:40

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

5 April 2020, 52 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

50:15

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

9 April 2020, 93 views

1:13:29

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

10 April 2020, 50 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

11:42

Lecture 16 | Part 4 - (Lec 6) Advanced Machine Learning Course, Ransac and applications

24 April 2020, 115 views

39:06

Lecture 20 | Part 1 - (Lec 10) Advanced Machine Learning Course, Hidden Markov Models (HMM) - Theory

21 May 2020, 222 views

26:37

Lecture 20 | Part2 - (Lec 10) Advanced Machine Learning Course, HMM - Applications to robotics

21 May 2020, 100 views

22:23

Lecture 1 | Part 1, Introduction to Machine Learning

6 September 2020, 1836 views

17:19

Lecture 1 | Part 2 , Pitfalls and Caveats in Machine Learning

6 September 2020, 1320 views

11:21

Lecture 2 | Part 1, Principal Component Analysis - Principle

9 September 2020, 1232 views

7:53

Lecture 2 | Part 2, PCA - Intuition

9 September 2020, 1092 views

15:35

Lecture 2 | Part 3 , PCA - Derivation

13 September 2020, 1349 views

14:28

Lecture 3 | Part 2-1, K-means

2 October 2020, 842 views

11:08

Lecture 3 | Part 1, Clustering Principle

2 October 2020, 826 views

17:03

Lecture 3 | Part 2 -2 , Soft K-means & DBSCAN

4 October 2020, 789 views

20:38

Lecture 3 | Part 3, Evaluation for Clustering

4 October 2020, 840 views

17:49

Lecture 4 | Part 3, Fitting and clustering data with Mixture of Gauss Functions

11 October 2020, 934 views

12:10

Lecture 4 | Part 2, Fitting data with one Gauss function

11 October 2020, 804 views

26:01

Lecture 4 | Part 1, Recap of Probabilities and Densities (optional)

13 October 2020, 796 views

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