Minor Introduction to AI: Data Analysis and Machine Learning

COORDINATOR

FORMAT / LOCATION

  • Campus SophiaTech
  • Campus Valrose
  • Remote courses

Prerequisites

Scientific Bachelor and Python programming (see details below)

CAPACITY

24 students

ABOUT THIS MINOR

This  minor is also open to students from LIFE and SPECTRUM graduate schools.

Summary

LEARNING OUTCOMES

  • Know the principles of Machine Learning, the main classes of problems, the main models
  • Know how to use the tools of the domain to analyze data that do not require pre-processing
Lecturers

PhD Students for TP/TD supervision

Prerequisites
If you do not practice Python on a daily basis,
 
Bibliography
  • Statistics and Machine Learning in Python. Edouard Duchesnay, Tommy Löfstedt ​(presents Python language for machine learning​)
  • Python Machine Learning. Sebastian Raschka​
  • Hands-on machine learning with Scikit-Learn and TensorFlow: concepts, tools, and techniques to build intelligent. A. Géron. O’Reilly​ (practical)
  • Data science : fondamentaux et études de cas: Machine learning avec Python et R. M. Lutz, E. Biernat. Editions Eyrolles​ (In French, introduction level but requires some maths background
Evaluation
  • QCM on the course (50%)
  • Student Project (50%)

SCHEDULE

Autumn 2021 (updated Oct 15th)
Each session includes a 60-90 min course and a 2-hour tutored session.
 

Date

Time slot

Course title

Lecturer Room
Oct 14 8h30-9h00 Course goals and outline (shared with minor Advanced AI) Michel Riveill Students from minor "Intro to AI" @Sophia: go to room E-118 for remote session
Students from minor "Intro to AI" @Nice: remote session
9h00-10h30 General introduction: the different problems of ML, the learning process Rodrigo Cabral Farias E-118 (Templiers 2, Campus SophiaTech) - Remote course for students in Nice
10h30-12h30 TP/TD (advanced level) Rodrigo Cabral Farias + Ali Ballout E-118 (Templiers 2, Campus SophiaTech)
TP/TD (intermediate level) Edoardo Sarti, Hugo Schmutz

Room M25, Campus Valrose Co-working room, bâtiment M, Campus Valrose

Oct 21 9h00-10h30 Regression with the linear model Rodrigo Cabral Farias E-118 (Templiers 2, Campus SophiaTech) - Remote course for students in Nice (Room M25, bâtiment M, Campus Valrose)
10h30-12h30 TP/TD (advanced level) Rodrigo Cabral Farias + Ali Ballout E-118 (Templiers 2, Campus SophiaTech)
TP/TD (intermediate level) Edoardo Sarti, Hugo Schmutz Room M25, bâtiment M, Campus Valrose
Oct 28 9h00-10h30 Classification - Régression logistique Rodrigo Cabral Farias E-118 (Templiers 2, Campus SophiaTech) - Remote course for students in Nice (Co-working room, bâtiment M, Campus Valrose)
10h30-12h30 TP/TD (advanced level) Rodrigo Cabral Farias + Ali Ballout E-118 (Templiers 2, Campus SophiaTech)
TP/TD (intermediate level) Edoardo Sarti, Hugo Schmutz Room M25, Campus Valrose Co-working room, bâtiment M, Campus Valrose
Nov 18 9h00-10h30 SVM Rodrigo Cabral Farias E-118 (Templiers 2, Campus SophiaTech) - Remote course for students in Nice (Co-working room, bâtiment M, Campus Valrose)
10h30-12h30 TP/TD (advanced level) Rodrigo Cabral Farias + Ali Ballout E-118 (Templiers 2, Campus SophiaTech)
TP/TD (intermediate level) Edoardo Sarti, Hugo Schmutz Room M25, Campus Valrose Co-working room, bâtiment M, Campus Valrose
Nov 25 9h00-10h30 LDA / Naive Bayes Lionel Fillatre E-118 (Templiers 2, Campus SophiaTech) - Remote course for students in Nice (Co-working room, bâtiment M, Campus Valrose)
10h30-12h30 TP/TD (advanced level) Lionel Fillatre + Ali Ballout E-118 (Templiers 2, Campus SophiaTech)
TP/TD (intermediate level) Edoardo Sarti, Hugo Schmutz Room M25, Campus Valrose Co-working room, bâtiment M, Campus Valrose
Dec 2 9h00-10h30 CART / Decision Tree / Random Forest Lionel Fillatre E-118 (Templiers 2, Campus SophiaTech) - Remote course for students in Nice (Co-working room, bâtiment M, Campus Valrose)
10h30-12h30 TP/TD (advanced level) Lionel Fillatre + Ali Ballout E-118 (Templiers 2, Campus SophiaTech)
TP/TD (intermediate level) Edoardo Sarti, Hugo Schmutz Room M25, Campus Valrose Co-working room, bâtiment M, Campus Valrose
Dec 9 9h00-10h30 Clustering (k-means, hclust) Michel Riveill E-118 (Templiers 2, Campus SophiaTech) - Remote course for students in Nice (Co-working room, bâtiment M, Campus Valrose)
10h30-12h30 TP/TD (advanced level) Michel Riveill + Ali Ballout E-118 (Templiers 2, Campus SophiaTech)
TP/TD (intermediate level) Edoardo Sarti, Hugo Schmutz Room M25, Campus Valrose Co-working room, bâtiment M, Campus Valrose
Dec 16 9h00-10h30 Dimension reduction (PCA, t-SNE) Michel Riveill E-118 (Templiers 2, Campus SophiaTech) - Remote course for students in Nice (Co-working room, bâtiment M, Campus Valrose)
10h30-12h30 TP/TD (advanced level) Michel Riveill + Ali Ballout E-118 (Templiers 2, Campus SophiaTech)
TP/TD (intermediate level) Edoardo Sarti, Hugo Schmutz Room M25, Campus Valrose Co-working room, bâtiment M, Campus Valrose