Part III
AI/ML and Statistics Background

7 Machine Learning for HEP
7.1 Introduction
7.2 Equivariant neural networks
7.3 Autoencoders and generative models
8 Data Analysis and Statistical Interpretation
8.1 Introduction or: What is an analysis?
8.2 Frequentist statistics at the LHC
8.3 Asymptotic formulae