“YouTube video recommendations, Airbnb product recommendations, news feed creation, etc.
“How do we design machine learning systems?”

This book delivers design knowledge in a three-dimensional way, integrating three axes: actual machine learning cases in service, seven design approaches, and the expertise of the author and engineers involved in actual system design.
This book will serve as an excellent compass for readers studying machine learning, as it reconstructs outstanding ideas scattered throughout blogs, papers, and other sources, incorporating personal insights from the author, various engineers, and managers.
Additionally, it avoids complex and difficult theories and introduces real-world systems that are familiar to everyone as examples, so anyone who is curious about the principles of systems, even if they are not a machine learning engineer, can read it with interest.