Formation aux Fondamentaux de l'IA et du Machine Learning
- What is AI? What is Machine learning?
- What is deep learning? What's the difference between ML and DL?
- Motivation: ML applications and use cases
- Introduction to Python programming language
- Numpy, OpenCV, Matplotlib libraries
- Supervised learning: decision tree
Approfondissement en Machine Learning
- Unsupervised learning: Kmeans
- Neural networks: MLP
- Machine learning classifiers
- Support Vector Machine (SVM)
- K Nearest Neighbor (KNN)
- Random forest