Introduction to Machine Learning Systems

A principle-driven textbook that teaches students and practitioners to reason quantitatively about machine learning systems, from data pipelines to deployment.

Machine learning has crossed from research into engineering practice, yet the field lacks a comprehensive treatment of principles, vocabulary, and quantitative reasoning tools. Filling that gap, this innovative textbook treats machine learning systems not as a collection of tools and frameworks, but as an engineering discipline govern...