Summary Machine Learning in Action is unique book that blends the foundational theories of machine learning with the practical realities of building tools for e

Field-tested tips, tricks, and design patterns for building machine learning projects that are deployable, maintainable, and secure from concept to production.

Summary Humans learn best from feedback—we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences

Automated Machine Learning in Action reveals how you can automate the burdensome elements of designing and tuning your machine learning systems. --

Deep learning systems have gotten really great at identifying patterns in text, images, and video. But applications that create realistic images, natural senten