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

Content:

Introduction: before beginning (download slides)

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

[L2] Lecture 2: Naïve Bayes classifier: (download handout)

[L3] Lecture 3: Gaussian distributions:  (download handout)

[L4] Lecture 4: Non parametric classifiers: (download handout)

 

Several practicals are associated to the lectures:

[P0]: Practical 0 : Introduction to Machine Learning (overfitting and model complexity): (download)

[P1]: Practical 1 : Normal distributions and Naive Bayes Classifiers (related to L2 and L3): (download)

[P2]: Practical 2 : Non Parametric Classifiers (related to L2 and L3): (download)

[P3]: Practical 3:  Estimation of 3D distance on faces using Machine Learning technics : (download)

 

Here is a tuto. for connecting to the VM Mecatronique (download)

 

Here is a python script using sklearn to compare classifiers  (download)

 

2019 Innomech Master's program

The lectures and practical are planned on the Weeks 49,50 and 51. 

Each student should write a short report (up to 10 pages) from the practical 3 (Estimation of 3D distance on faces using Machine Learning technics) and send it to: This email address is being protected from spambots. You need JavaScript enabled to view it. before the 31th of december 2019. 30th 27th January 2020. 

Here is the correction of the last question of the practical : face_3D_cor.py.zip

The report should be sent to thierry.chateau_at_uca.fr. (replace _at_ by @).

 

Attachments

studentsML P .zip [5.2Mb]
Uploaded Thursday, 13 September 2018 by Super Utilisateur
TD .pdf [966.01Kb]
Uploaded Tuesday, 18 September 2018 by Super Utilisateur
201809180505 ML handout.pdf [5.17Mb]
Uploaded Tuesday, 18 September 2018 by Super Utilisateur
201810011210 ML .pdf [3.82Mb]
Uploaded Monday, 01 October 2018 by Super Utilisateur
201810011213 studentsML P .zip [43.33Mb]
Uploaded Monday, 01 October 2018 by Super Utilisateur
mecatroniquehowto.pdf [311.18Kb]
Uploaded Tuesday, 08 October 2019 by Super Utilisateur
ML1P0.zip [3.23Kb]
Uploaded Wednesday, 04 December 2019 by Super Utilisateur
201912110727 ML2.pdf [4Mb]
Uploaded Wednesday, 11 December 2019 by Super Utilisateur
ML3.pdf [4.39Mb]
Uploaded Wednesday, 11 December 2019 by Super Utilisateur
face 3D1 cor py.zip [2.37Kb]
Uploaded Friday, 27 December 2019 by Super Utilisateur