Course: Introduction to Artificial Intelligence
Master 2: Software Engineering and Distributed Systems & Artificial Intelligence and Big Data
Final Grades
M2-GLSD
https://drive.google.com/file/d/1tBPldoDJFriUCg1AQBKf_ev5RLech0Vw/view?usp=sharing
M1-AIBD
https://drive.google.com/file/d/1Dxcja_2iuTcWhwLaXpU41CaapFXLVd0d/view?usp=sharing
Final Exam / Correction
M2 - GLSD
https://drive.google.com/file/d/1C2ThYov8QOz0epjfa8Amd0tGNU2j41U-/view?usp=sharing
M1 - AIBD
https://drive.google.com/file/d/1TMJt7JLxVwtyb8h9OugkGKp5BK5SwpFz/view?usp=sharing
Test / Correction
M2 - GLSD
https://drive.google.com/file/d/1LRFvZC5OOXsnHrt9LTAKaDgOdX4UxXfW/view?usp=sharing
M1 - AIBD
https://drive.google.com/file/d/1VrvOMtDnPFPsylFadOok7QlVTr6k9ZqW/view?usp=sharing
Course Material
English version:
Chapter 1: AI & Intelligent Agents
.pdf version
https://drive.google.com/file/d/19sfGGGYpH42YncaygUhSswUbUAS-Xwd0/view?usp=sharing
.ppt version
https://drive.google.com/file/d/1xP6H-7p7r-bCkxBYJKsUi6expTEFXOct/view?usp=sharing
Chapter 2: Problem-Solving
.ppt version
https://drive.google.com/file/d/1EEJ_l8y6N-P6hVWAXolNJhbPEs2Z5sUR/view?usp=sharing
Chapter 3: Constraints Satisfaction Problems
.ppt version
https://drive.google.com/file/d/1GX4RpMyLTCgtS8TmtD-bBjTAT-dIxnd1/view?usp=sharing
Chapter 4: Machine Learning and Classification
.ppt version
https://drive.google.com/file/d/1tE0CdxxwxAQ3Nh53C4-41I7S3Do5S9sf/view?usp=sharing
Chapter 5: Probabilistic Reasoning
https://drive.google.com/file/d/1JJhxG_1rpBcSpwOLz6YVu6uWO6ugJQ4o/view?usp=sharing
Chapter 6: Intro to NLP (New)
https://drive.google.com/file/d/1QI1Gr95af23B6REgd6G_6NStLlOnOMNX/view?usp=sharingAssessement correction
https://drive.google.com/file/d/1jzJ75Nw77kUXaJLP03JfNs-Z09JQuJcL/view?usp=sharing
Old version (fr)
- Chapitre 1: Agents intelligents
https://drive.google.com/file/d/16t06Y6C7fLw3HxTX_2ZfgKGD94EzmSYX/view?usp=sharing
- Chapitre 2 : Algorithmes de recherche
https://drive.google.com/file/d/1hIbiKf_Hz5NEX3R2GuZArszm7CA5rni2/view?usp=sharing
- Chapitre 3 : Apprentissage automatique
https://drive.google.com/file/d/1bPv4T3bXL6o38AbWbmH-awMg0gd0HpkM/view?usp=sharing
- Chapitre 3 (Suite): Algorithme d'apprentissage par rétropropagation
https://drive.google.com/file/d/1mnHPThYP9AZKsJK4hf_GKv2u186IHrEz/view?usp=sharing
- Vidéo dernier cours (Réseaux de neurones artificiels)
https://drive.google.com/file/d/1nfpdw96PW7EQOHRx6PHvO8p1BvcbRdLR/view?usp=sharing
- Chapitre 4 : Classification automatique
https://drive.google.com/file/d/1savlEO7-61_7AUdsxXK2Egvc6J7TcGqG/view?usp=sharing
- Chapitre 5 : Traitement automatique du langage naturel
https://drive.google.com/file/d/1C9RvlYfwUMrnqVB520vKMq2h8eOYzLze/view?usp=sharing
- Exemples TALN Python :
https://drive.google.com/file/d/1YQrEBFEAc8OL9TRueqpHcj1ft63i0ZFY/view?usp=sharing
