The Definitive Guide to Machine Learning Platforms

This guide explores how leading data-first companies like Facebook, Uber, and Google have built their machine learning platforms.

It provides insights into the capabilities and process disciplines of these platforms, offering a roadmap for developing and deploying ML models at scale.

The book covers key aspects such as data acquisition, feature management, experiment management, and model development.