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Part I Course content
1. Initial reflexion
3. General Introduction
3.4. Introduction to AI
3.6. Introduction to AI/ML
4. Minimization methods
5. Algorithms for AI/ML
6. Implementation of IA/ML
7. Time series analysis with AI/ML
8. AI/ML Computing
Part II Practical works
1. Practical work: Character recognition using scikit-learn
2. Practical work: Multi-dimensional minimization
Annexe
1. References
Index
