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/