Place and Time

Room: Summer School Ljubljana
Time: Thu, Fri 14-16

Recommended Lecture Notes

Content of Lecture

Lecture notes and Jupyter notebooks will be provided during the lecture

  • What is Machine Learning?
  • Various methods for regression and classification
  • Introduction to Neural Networks
  • Optimisation of Neural Networks
    • Hyperparameter optimisatioin
    • Underfitting / Overfitting
    • Variance Bias
    • ROC Curves
  • Supvervised vs Unsupervised learning
  • Application of Neural Networks to High-Energy Physics

Recommended Literature