Here are some relevant information related to the Machine Learning lectures. 

Content:

[L1] Lecture 1: Introduction to machine learning: 1.5h (download handout)

[L2] Lecture 2: Gaussian distributions and Naïve Bayes classifier: 1.5h (download handout: part1, part2)

[L3] Lecture 3: Non parametric classifiers (download handout)

[L4] Lecture 4: to be defined

 

Two practicals are associated to lecture:

[P1]: Practical 1 : (related to L1 and L2): 3h (download handout)

[P2]: Practical 2:  to be defined : 3h

 

Attachments

studentsML P .zip [5.2Mb]

Uploaded 6 days ago. by Super Utilisateur

201809180420 ML .pdf [3.8Mb]

Uploaded 1 day ago. by Super Utilisateur

TD .pdf [966.01Kb]

Uploaded 1 day ago. by Super Utilisateur

201809180505 ML handout.pdf [5.17Mb]

Uploaded 23 hours ago. by Super Utilisateur

201809180507 ML .pdf [4.39Mb]

Uploaded 23 hours ago. by Super Utilisateur