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Part I Course content
1. General Introduction
1.4. Introduction to AI
1.6. Introduction to AI/ML
2. Minimization methods
3. Algorithms for AI/ML
4. Implementation of IA/ML
5. Time series analysis with AI/ML
6. AI/ML Computing
Part II Practical works
1. Practical work: Character recognition using scikit-learn
2. Practical work: Multi-dimensional minimization
3. TP modélisation de propriétés mécaniques par machine learning
4. TP Prédiction météo par IA
Annexe
1. References
Index
