University of Heidelberg

Introduction to Data Analysis and Machine Learning in Physics

Lecture slides

  1. Introduction to Python (01_intro_python.pdf)
  2. Data modeling and fitting (02_fit_intro.pdf)
  3. Machine Learning Basics (03_ml_intro.pdf, 03_ml_intro_mva.pdf)
  4. Decisions trees (04_decision_trees.pdf)
  5. Neural networks (05_neural_networks.pdf)

Organizational matters

  • Introduction (pdf)
  • CIP pool access (pdf)
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