Foundations of Machine Learning - Oxford summerschool 2025

Syllabus: Syllabus_ML_Oxford_summerschool_2025.pdf

Summer school homepage: september-summer-school

My new book on machine learning and AI: The Means of Prediction

Useful links: computationlinks
(Machine learning textbooks, introductions to Python and R, useful packages, etc.)

Lecture slides

1. Supervised learning using Python Jupyter Notebook, Html version
   Probably approximately correct learning theory Slides
2. Shrinkage in the normal means model Slides
3. Deep neural nets Slides
   Conformal inference for prediction Slides
4. Overview of online learning and active learning Slides
   Online learning Slides
   Bandit problems Slides
5. Fairness Slides
   Differential privacy Slides

Problems for the practice sessions

1. Coding exercise - supervised learning: coding_exercise_scikitlearn.pdf
2. Coding exercise - shrinkage estimation: coding_exercise_shrinkage.pdf
3. Coding exercise - conformal inference: coding_exercise_shrinkage.pdf
4. Coding exercise - multiarmed bandits: coding_exercise_bandits.pdf