Machine Learning Engineering with Python

Preface

Machine Learning (ML) is rightfully recognized as one of the most powerful tools available for organizations to extract value from their data. As the capabilities of ML algorithms have grown over the years, it has become increasingly obvious that implementing them in a scalable, fault-tolerant, and automated way is a discipline in its own right. This discipline, ML engineering, is the focus of this book.

The book covers a wide variety of topics in order to help you understand the tools, techniques, and processes you can apply to engineer your ML solutions, with an emphasis on introducing the key concepts so that you can build on them in your own work. Much of what we will cover will also help you maintain and monitor your solutions, ...