Previously entitled Minor AI (Advanced): Advanced Machine Learning and Deep Learning
Coordinated by: Michel Riveill, PR Université Côte d'Azur, Polytech, I3S
FORMAT
Classroom
LOCATION
Campus SophiaTech, Templiers
Prerequisites
- Scientific Bachelor
- Python programming
- Prerequisites and main concepts of Minor AI Introduction
CAPACITY
24 students
ABOUT THIS MINOR
This minor is also open to students from the SPECTRUM graduate school.
- Summary
-
LEARNING OUTCOMES
- Know the principles of Deep Learning (neural network)
- Know how to build models based on neural networks to process structured data, images or text
- Lecturers
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- Diane Lingrand (MC Université Côte d'Azur, I3S)
- Michel Riveill (PR Université Côte d'Azur, I3S)
PhD students for TP/TD supervision
- Prerequisites
- Bibliography
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- 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
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- Test at the beginning of the class (25% of the final grade) - 17/11/2022
- Test at the beginning of the class (25% of the final grade) - 8/12/2022
- Student Project (50%)
SCHEDULE FALL 2022 (updated Oct. 7)
Mind the evaluation modalities and deadlines in the "Evaluation" tab above.
Date | Time | Course's title | Lecturers | Place |
13/10/2022 | 9h00-10h30 | An introduction to Natural Language Processing | Michel Riveill | Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111) |
10h30-12h30 | TP/TD (students with computer science advanced level) | Michel Riveill + Antoine Collin | Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111) | |
TP/TD (other students) | Cédric Cuaz | Campus SophiaTech, Templiers, Building E, room E302 (ex-O+302) | ||
20/10/2022 | 8h30-9h00 | Deep learning - Multi-layers perceptron | Michel Riveill + 3IA PhD students | Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111) |
9h00-10h30 | Deep learning - General principles | Michel Riveill | Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111) | |
10h30-12h30 | TP/TD (students with computer science advanced level) | Michel Riveill + Antoine Collin | Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111) | |
TP/TD (other students) | Cédric Cuaz | Campus SophiaTech, Templiers, Building E, room E302 (ex-O+302) | ||
27/10/2022 | 9h00-10h30 | Deep learning – Working with text (embedding) | Michel Riveill | Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111) |
10h30-12h30 | TP/TD (students with computer science advanced level) | Michel Riveill + Antoine Collin | Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111) | |
TP/TD (other students) | Cédric Cuaz | Campus SophiaTech, Templiers, Building E, room E302 (ex-O+302) | ||
10/11/2022 | 9h00-10h30 | Deep learning - Recommender Systems | Michel Riveill | Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111) |
10h30-12h30 | TP/TD (students with computer science advanced level) | Michel Riveill + Antoine Collin | Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111) | |
TP/TD (other students) | Cédric Cuaz | Campus SophiaTech, Templiers, Building E, room E302 (ex-O+302) | ||
17/11/2022 | 9h00-10h30 | Deep learning - Recurrent Neural Network | Michel Riveill | Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111) |
10h30-12h30 | TP/TD (students with computer science advanced level) | Michel Riveill + Antoine Collin | Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111) | |
TP/TD (other students) | Cédric Cuaz | Campus SophiaTech, Templiers, Building E, room E302 (ex-O+302) | ||
24/11/2022 | 9h00-10h30 | Deep learning - Convolutional Neural Network | Diane Lingrand | Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111) |
10h30-12h30 | TP/TD (students with computer science advanced level) | Diane Lingrand + Antoine Collin | Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111) | |
TP/TD (other students) | Cédric Cuaz | Campus SophiaTech, Templiers, Building E, room E302 (ex-O+302) | ||
01/12/2022 | 9h00-10h30 | Deep learning - Model Explainability | Diane Lingrand | Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111) |
10h30-12h30 | TP/TD (students with computer science advanced level) | Diane Lingrand + Antoine Collin | Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111) | |
TP/TD (other students) | Cédric Cuaz | Campus SophiaTech, Templiers, Building E, room E302 (ex-O+302) | ||
08/12/2022 | 9h00-10h30 | Deep learning - Reinforcement Learning | Diane Lingrand | Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111) |
10h30-12h30 | TP/TD (students with computer science advanced level) | Diane Lingrand + Antoine Collin | Campus SophiaTech, Templiers, Building E, room E111 (ex-O+111) | |
TP/TD (other students) | Cédric Cuaz | Campus SophiaTech, Templiers, Building E, room E302 (ex-O+302) |