LASA - Machine Learning Courses

Aude Billard, École polytechnique fédérale de Lausanne (EPFL)

1 April 2020, 56 videos, 28602 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.

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

35:40

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

5 April 2020, 52 views

4:30

Lecture 5 | Part 1, Classification - Introduction

23 October 2020, 650 views

20:30

Lecture 5 | Part 2, Classification with GMM

23 October 2020, 747 views

11:08

Lecture 3 | Part 1, Clustering Principle

2 October 2020, 826 views

11:13

Lecture 9 | Part 2, Comparison-GMR-SV

2 December 2020, 546 views

32:41

Lecture 7 | Part 3, Deep neural networks and more

10 November 2020, 340 views

38:21

Lecture 19 | Part 1 (Lecture 10 - Advanced Machine Learning), Discrete Reinforcement Learning

3 May 2021, 153 views

20:38

Lecture 3 | Part 3, Evaluation for Clustering

4 October 2020, 840 views

18:26

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

24 April 2020, 104 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

24:15

Lecture 9 | Part 1, Gaussian Mixture Regression

2 December 2020, 926 views

26:28

Lecture 18 | Part 1 (Lec 9 - Advanced Machine Learning), Gaussian Process Regression

26 April 2021, 173 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

21:49

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

14 March 2021, 181 views

26:01

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

1 March 2021, 213 views

14:28

Lecture 3 | Part 2-1, K-means

2 October 2020, 842 views

11:24

Lecture 5 | Part 3, KNN Classifier

23 October 2020, 706 views

50:15

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

9 April 2020, 93 views

28:18

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

12 June 2021, 109 views

17:00

Lecture 6 Part 2, Linear SVM derivation

3 November 2020, 772 views

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