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

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.

This research scholarly illustrated book has more than 250 illustrations. The simple models of supervised machine learning with Gaussian Naïve Bayes, Naïve Ba

Transform your machine learning projects into successful deployments with this practical guide on how to build and scale solutions that solve real-world problem