Principles and Practices of Building Machine Learning Systems

This session examines how software engineering practices apply to building and managing machine learning systems in production. It discusses challenges such as large datasets, long feedback cycles, nondeterministic behavior, and GPU workloads through a case study of a large-scale recommender system.