The Higgs boson discovery at the Large Hadron Collider in 2012 relied on boosted decision trees. Since then, high energy physics (HEP) has applied modern machin

This volume develops an effective theory approach to understanding deep neural networks of practical relevance.

Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techni

A core principle of physics is knowledge gained from data. Thus, deep learning has instantly entered physics and may become a new paradigm in basic and applied

The first half deals with the motion of a single particle under the influence of electronic and magnetic fields. The basic language of linear and circular accel