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Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. First edition Includes bibliographical references and index.
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Add to basketPaperback. Condition: Brand New. 476 pages. 10.00x7.00x10.00 inches. In Stock.
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Language: English
Published by CRC Press 2022-05-29, 2022
ISBN 10: 1032193565 ISBN 13: 9781032193564
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Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketHardcover. Condition: Brand New. 400 pages. 10.00x7.00x1.65 inches. In Stock.
Language: English
Published by Taylor and Francis Ltd, GB, 2022
ISBN 10: 1032193565 ISBN 13: 9781032193564
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Hardback. Condition: New. This book provides a detailed description of machine learning algorithms in data analytics, data science life cycle, Python for machine learning, linear regression, logistic regression, and so forth. It addresses the concepts of machine learning in a practical sense providing complete code and implementation for real-world examples in electrical, oil and gas, e-commerce, and hi-tech industries. The focus is on Python programming for machine learning and patterns involved in decision science for handling data.Features:Explains the basic concepts of Python and its role in machine learningProvides comprehensive coverage of feature engineering including real-time case studiesPerceives the structural patterns with reference to data science and statistics and analyticsIncludes machine learning-based structured exercisesAppreciates different algorithmic concepts of machine learning including unsupervised, supervised, and reinforcement learningThis book is aimed at researchers, professionals, and graduate students in data science, machine learning, computer science, and electrical and computer engineering.
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Add to basketHardcover. Condition: Brand New. 400 pages. 10.00x7.00x1.65 inches. In Stock.
Language: English
Published by Taylor and Francis Ltd, GB, 2022
ISBN 10: 1032193565 ISBN 13: 9781032193564
Seller: Rarewaves.com UK, London, United Kingdom
US$ 331.55
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Add to basketHardback. Condition: New. This book provides a detailed description of machine learning algorithms in data analytics, data science life cycle, Python for machine learning, linear regression, logistic regression, and so forth. It addresses the concepts of machine learning in a practical sense providing complete code and implementation for real-world examples in electrical, oil and gas, e-commerce, and hi-tech industries. The focus is on Python programming for machine learning and patterns involved in decision science for handling data.Features:Explains the basic concepts of Python and its role in machine learningProvides comprehensive coverage of feature engineering including real-time case studiesPerceives the structural patterns with reference to data science and statistics and analyticsIncludes machine learning-based structured exercisesAppreciates different algorithmic concepts of machine learning including unsupervised, supervised, and reinforcement learningThis book is aimed at researchers, professionals, and graduate students in data science, machine learning, computer science, and electrical and computer engineering.
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Seller: moluna, Greven, Germany
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. S. Sumathi is working as a Professor in the Department of Electrical and Electronics Engineering, PSG College of Technology, Coimbatore with teaching and research experience of 30 years. Her research interests include Neural Networks.