This book covers the fundamentals of designing machine learning systems. It goes through the entire lifecycle of a machine learning system and then discusses the ecosystem and the challenges and cases that need to be considered.
This book is about the practical implementation of machine learning models. It goes through why machine learning should be used, how to implement it, and how to execute in all phasers of the machine learning life-cycle.
This book is a no-nonsense book about practical MLOps and how you should approach it to solve business problems. The book takes an even more hardline approach to automation and focuses on the concept of Kaizen ML, where continuous improvement and striving to make the feedback loop even shorter and the process more and more seamless.