Machine Learning for Data Analysis

In this talk, I will cover machine learning for data analysis in high energy physics.  In particular, I will describe how modern machine learning methods can be used to significantly enhance precision measurements and searches for physics beyond the Standard Model.  I will cover topics at varying levels of readiness (e.g. phenomenological proposals to performance studies to experimental results), providing examples across the high energy physics frontiers.