Machine Learning Engineering
"If you are going to use machine learning to solve large-scale practical problems, I can only be glad that you stumbled upon this book. Read with pleasure!" Cassie Kozyrkov, Chief Specialist in Decision Theory at Google "Fundamental work on the practical construction of machine learning models and their deployment in a production environment. It arrived just at the moment when companies began to see the light and realize that in order for a solution based on machine learning to work, conscious efforts of engineers and familiarity with best practices are needed. Another wonderful book from Andrey!" Karolis Urbonas, Head of the Machine Learning Department at Amazon The new book by Andrey Burkov, author of Machine Learning without Unnecessary Words, a world bestseller published in eleven languages, is the most comprehensive of the existing books on applied AI. It contains many recommendations and design patterns for reliable and scalable solutions in the field of machine learning. Andrey Burkov holds a PhD in AI and heads the machine learning group at Gartner. The book is based on Andrey's own 15-year experience in solving problems using AI, as well as on the published works of industry leaders.
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