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Machine Learning Model Concepts by Kumar Tipu (8 results)
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Machine Learning Model Concepts: A Comprehensive Guide
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207805690 ISBN 13: 9786207805693
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 48.51
US$ 15.95 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Machine Learning Model Concepts: A Comprehensive Guide
Language: English
Published by LAP LAMBERT Academic Publishing Jun 2024, 2024
ISBN 10: 6207805690 ISBN 13: 9786207805693
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -This book offers an in-depth exploration of the principles, techniques, and applications of machine learning. Starting with foundational concepts such as data preprocessing and model evaluation, the book covers both supervised learning models like regression and classification, and advanced topics like ensemble learning, neural networks, and deep learning. Practical considerations, including handling imbalanced data, feature engineering, and preventing data leakage, are thoroughly discussed to help build robust models. Designed for students, professionals, and enthusiasts alike, this guide provides valuable insights and practical knowledge to navigate and excel in the field of machine learning.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch.
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Machine Learning Model Concepts: A Comprehensive Guide
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207805690 ISBN 13: 9786207805693
Taschenbuch. Condition: Neu. Machine Learning Model Concepts: A Comprehensive Guide | Rupesh Kumar Tipu | Taschenbuch | 76 S. | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207805693 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
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Machine Learning Model Concepts
Language: English
Published by KS Omniscriptum Publishing, 2024
ISBN 10: 6207805690 ISBN 13: 9786207805693
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Machine Learning Model Concepts
Language: English
Published by KS Omniscriptum Publishing, 2024
ISBN 10: 6207805690 ISBN 13: 9786207805693
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
US$ 58.10
US$ 4.38 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Machine Learning Model Concepts: A Comprehensive Guide
Language: English
Published by LAP LAMBERT Academic Publishing Jun 2024, 2024
ISBN 10: 6207805690 ISBN 13: 9786207805693
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 76 pp. Englisch.
-
Machine Learning Model Concepts: A Comprehensive Guide
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207805690 ISBN 13: 9786207805693
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
-
Machine Learning Model Concepts: A Comprehensive Guide
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207805690 ISBN 13: 9786207805693
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book offers an in-depth exploration of the principles, techniques, and applications of machine learning. Starting with foundational concepts such as data preprocessing and model evaluation, the book covers both supervised learning models like regression and classification, and advanced topics like ensemble learning, neural networks, and deep learning. Practical considerations, including handling imbalanced data, feature engineering, and preventing data leakage, are thoroughly discussed to help build robust models. Designed for students, professionals, and enthusiasts alike, this guide provides valuable insights and practical knowledge to navigate and excel in the field of machine learning.
