ISBN-13: 9781461347569, 978-1461347569. This book serves multiple purposes as well. Machine Learning. Machine Learning: Discriminative and Generative is designed for an audience composed of researchers & practitioners in industry and academia.
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ISBN-13: 9789819753321, 978-9819753321. The book is structured into four parts, encompassing a total of fifteen chapters. The inaugural part, titled Perspectives, comprises two chapters: an introductory exposition and an exploration of the conceptual foundations.
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★ Complete Title: Machine Learning for Absolute Beginners: A Plain English Introduction (Third Edition) by Theobald, Oliver [Premium Leather Bound]. As a clear and concise alternative, this book provides a high-level introduction to machine learning, free downloadable code exercises, and video demonstrations.Machine Learning for Absolute Beginners Third Edition has been written and designed forabsolute beginners.
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About the Author Andriy Burkov holds a Ph.D. in Artificial Intelligence. He works as a senior data scientist and machine learning team leader at Gartner.
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Bonus: Buy the Paperback version of this book, and get the kindle eBook version included for FREE Machine Learning is changing the world. In this book, you will learn how ML grew from a desire to make computers able to learn.
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Title: Machine Learning: A Hands-On, Project-Based Introduction to Mach Item Condition: used item in a good condition. Binding: Paperback Language: english. Book Details. Published On: 18 Oct 2017 SKU: 8765-9781978373884.
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ISBN-13: 9783030703875, 978-3030703875. Dr. McClarren examines these technologies from an engineering perspective and illustrates their specific value to engineers by presenting concrete examples based on physical systems.
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ISBN-13: 9781915722881, 978-1915722881. In this revised edition, updated in line with the changes in the AI landscape since initial publication, architectures best-known technologist, Phil Bernstein, provides that strategy.
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