Items related to Machine Learning
Synopsis
The primary aim of this book is to provide students, educators, researchers, and aspiring professionals with a strong foundation in machine learning concepts, algorithms, and practical implementation techniques. It is designed to help learners understand how intelligent systems learn from data, recognise patterns, make predictions, and support decision-making in real-world applications. This book aims to: - Introduce the fundamentals and types of machine learning.- Explain core supervised, unsupervised, and reinforcement learning techniques. - Develop analytical thinking for selecting suitable algorithms for different problems. - Provide practical knowledge using Python and popular ML libraries. - Bridge theoretical understanding with hands-on experimentation. - Prepare learners for advanced studies, research, and industry applications in AI and data science.
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Machine Learning (Paperback)
Published by
LAP Lambert Academic Publishing, 2026
ISBN 10: 6209928005
ISBN 13: 9786209928000
New
Paperback
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. The primary aim of this book is to provide students, educators, researchers, and aspiring professionals with a strong foundation in machine learning concepts, algorithms, and practical implementation techniques. It is designed to help learners understand how intelligent systems learn from data, recognise patterns, make predictions, and support decision-making in real-world applications. This book aims to: - Introduce the fundamentals and types of machine learning.- Explain core supervised, unsupervised, and reinforcement learning techniques. - Develop analytical thinking for selecting suitable algorithms for different problems. - Provide practical knowledge using Python and popular ML libraries. - Bridge theoretical understanding with hands-on experimentation. - Prepare learners for advanced studies, research, and industry applications in AI and data science. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9786209928000
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Machine Learning
Published by
LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6209928005
ISBN 13: 9786209928000
New
PAP
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9786209928000
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Machine Learning
Published by
LAP Lambert Academic Publishing, 2026
ISBN 10: 6209928005
ISBN 13: 9786209928000
New
Softcover
Seller: California Books, Miami, FL, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. Seller Inventory # I-9786209928000
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Machine Learning
Published by
LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6209928005
ISBN 13: 9786209928000
New
PAP
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9786209928000
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Machine Learning
Published by
LAP LAMBERT Academic Publishing Mai 2026, 2026
ISBN 10: 6209928005
ISBN 13: 9786209928000
New
Taschenbuch
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 -The primary aim of this book is to provide students, educators, researchers, and aspiring professionals with a strong foundation in machine learning concepts, algorithms, and practical implementation techniques. It is designed to help learners understand how intelligent systems learn from data, recognise patterns, make predictions, and support decision-making in real-world applications. This book aims to:- Introduce the fundamentals and types of machine learning.- Explain core supervised, unsupervised, and reinforcement learning techniques. - Develop analytical thinking for selecting suitable algorithms for different problems. - Provide practical knowledge using Python and popular ML libraries. - Bridge theoretical understanding with hands-on experimentation. - Prepare learners for advanced studies, research, and industry applications in AI and data science. 264 pp. Englisch. Seller Inventory # 9786209928000
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Machine Learning | Concepts and Techniques
Published by
LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6209928005
ISBN 13: 9786209928000
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Machine Learning | Concepts and Techniques | D. Magdalene Delighta Angeline (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209928000 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Seller Inventory # 135588707
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Machine Learning
Published by
LAP LAMBERT Academic Publishing Mai 2026, 2026
ISBN 10: 6209928005
ISBN 13: 9786209928000
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The primary aim of this book is to provide students, educators, researchers, and aspiring professionals with a strong foundation in machine learning concepts, algorithms, and practical implementation techniques. It is designed to help learners understand how intelligent systems learn from data, recognise patterns, make predictions, and support decision-making in real-world applications. This book aims to:¿ Introduce the fundamentals and types of machine learning.¿ Explain core supervised, unsupervised, and reinforcement learning techniques. ¿ Develop analytical thinking for selecting suitable algorithms for different problems. ¿ Provide practical knowledge using Python and popular ML libraries. ¿ Bridge theoretical understanding with hands-on experimentation. ¿ Prepare learners for advanced studies, research, and industry applications in AI and data science. 264 pp. Englisch. Seller Inventory # 9786209928000
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Machine Learning (Paperback)
Published by
LAP Lambert Academic Publishing, 2026
ISBN 10: 6209928005
ISBN 13: 9786209928000
New
Paperback
Seller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. The primary aim of this book is to provide students, educators, researchers, and aspiring professionals with a strong foundation in machine learning concepts, algorithms, and practical implementation techniques. It is designed to help learners understand how intelligent systems learn from data, recognise patterns, make predictions, and support decision-making in real-world applications. This book aims to: - Introduce the fundamentals and types of machine learning.- Explain core supervised, unsupervised, and reinforcement learning techniques. - Develop analytical thinking for selecting suitable algorithms for different problems. - Provide practical knowledge using Python and popular ML libraries. - Bridge theoretical understanding with hands-on experimentation. - Prepare learners for advanced studies, research, and industry applications in AI and data science. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9786209928000
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Machine Learning : Concepts and Techniques
Published by
LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6209928005
ISBN 13: 9786209928000
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The primary aim of this book is to provide students, educators, researchers, and aspiring professionals with a strong foundation in machine learning concepts, algorithms, and practical implementation techniques. It is designed to help learners understand how intelligent systems learn from data, recognise patterns, make predictions, and support decision-making in real-world applications. This book aims to:- Introduce the fundamentals and types of machine learning.- Explain core supervised, unsupervised, and reinforcement learning techniques. - Develop analytical thinking for selecting suitable algorithms for different problems. - Provide practical knowledge using Python and popular ML libraries. - Bridge theoretical understanding with hands-on experimentation. - Prepare learners for advanced studies, research, and industry applications in AI and data science. Seller Inventory # 9786209928000
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Quantity: 2 available