Machine Learning Engineering with Python - Second Edition

Preface

”Software is eating the world, but AI is going to eat software.”

— Jensen Huang, CEO of Nvidia

Machine learning (ML), part of the wider field of Artificial Intelligence (AI), 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 such algorithms in a scalable, fault-tolerant, and automated way requires the creation of new disciplines. These disciplines, ML Engineering (MLE) and ML Operations (MLOps), are 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 ...