Machine Learning Overview

Machine Learning (ML) algorithms are found across all scientific directorates at SLAC, with applications to a wide range of tasks including online data reduction, system controls, simulation, and analysis of big data. An important design principle of ML algorithms is the generalization of learning patterns across different tasks, which motivates shared tool-development and R&D at an inter-directorate level. ML-at-SLAC is a hub for ML activities at the lab, providing resources and connections between ML experts and domain scientists.