The Machine Learning Solutions Architect Handbook

Preface

As artificial intelligence and machine learning (ML) become increasingly prevalent in many industries, there is an increasing demand for ML solutions architects who can translate business needs into ML solutions and design ML technology platforms. This book is designed to help people learn ML concepts, algorithms, system architecture patterns, and ML tools to solve business and technical challenges, with an emphasis on large-scale ML systems architecture and operations in an enterprise setting.

The book first introduces ML and business fundamentals, such as the types of ML, business use cases, and ML algorithms. It then dives deep into data management for ML and the various AWS services for building a data management architecture for ...