Introduction to machine learning
PSL (2022)
- Machine learning: recent successes
- Introduction to machine learning
- Introduction to Python and Numpy for data sciences.
- Machine learning models (linear, trees, neural networks).
- Scikit-learn: estimation/prediction/transformation
- Practice of Scikit-learn
- The linear model, optimization
- Logistic regression with gradient descent
- Introduction to Deep-Learning
- Deep learning in practice (Pytorch)
https://data-psl.github.io/lectures2023/