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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

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By Marc BUFFAT, dpt mécanique, université Lyon 1

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