Title: Machine Learning For Beginners. Author: Steven Cooper. Release Date: 30/08/2019. Format: Paperback. Release Year: 2019. Type: Paperback. ISBN-10: 3903331171. Genre: Technology & Engineering.
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ISBN-13: 9781107422223, 978-1107422223. As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles.
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Apache Mahout committers Ted Dunning and Ellen Friedman walk you through a design that relies on careful simplification. A Paperback edition by Ted Dunning and Ellen Friedman in English (Mar 18, 2016).
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ISBN-13: 9781032472249, 978-1032472249. The second part collects applications of machine learning in unmanned systems including optimization and case studies in submarines, drones, and robots. Machine Learning for Complex and Unmanned Systems.
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Author:-Theobald, Oliver. Title:-Machine Learning for Absolute Beginners: A Plain� English Introduction (Third� Edition). Publisher:-Scatterplot Press.
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Title:-Machine Learning for Beginners: A Comprehensive Guide To Algorithms For Machine Learning And Data Science Author:-William J Ford Format:-Paperback ISBN13:-9798615125096 Language:-English Publisher:-Independently Published Publication Date:-2020 Pages:-200 Pages Category:-Computer Science Textbook Condition:-Brand New
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"Advanced Machine Learning Techniques: Tools and Strategies for Professional Data Scientists" is the ultimate resource for data scientists and machine learning professionals looking to expand their expertise and tackle complex real-world challenges.
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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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