Machine Learning Engineering

Description

From the author of a world bestseller published in eleven languages, The Hundred-Page Machine Learning Book , this new book by Andriy Burkov is the most complete applied AI book out there. It is filled with best practices and design patterns of building reliable machine learning solutions that scale. Andriy Burkov has a Ph.D. in AI and is the leader of a machine learning team at Gartner. This book is based on Andriy's own 15 years of experience in solving problems with AI as well as on the published experience of the industry leaders. "If you intend to use machine learning to solve business problems at scale, I'm delighted you got your hands on this book." -Cassie Kozyrkov, Chief Decision Scientist at Google "Foundational work about the reality of building machine learning models in production." -Karolis Urbonas, Head of Machine Learning and Science at desertcart Review: Excellent Book. - The best book ever for Machine Learning Engineering. This book is different from the ones available in the market which keeps on explaining the algorithms. This book is about the entire procedure and in-depth analysis of the process of Machine Learning and it's steps associated with other technologies. This book probably gives the most simple explanation about the various terms in Data Science and the reasons why are things done the way it is. In one word, this is an exceptional book. I proudly own this book now. Review: Great book with missing practical examples - Great book it covers an important gap in the literature: the lifecycle of a ML project. It focuses on the important parts of practical ML, data gathering and preparation, feature engineering, reproducibility, model serving, monitoring, versioning. The book is nicely written. The only caveat is that the book is way to theoretical and is missing practical examples about real projects.