Reddappa H N (10 results)
- Softcover
Seller: Bay State Book Company, North Smithfield, RI, U.S.A.Bay State Book Company
Contact seller5-star sellerCondition: Used - Very good
£ 10.20
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Condition: very_good.
- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
Contact seller4-star sellerCondition: New
£ 19.63
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Condition: New.
- Softcover
Seller: KALAMO BOOKS, Burriana, CS, SpainKALAMO BOOKS
Contact seller5-star sellerCondition: New
£ 22.74
£ 17.01 shippingShips from Spain to U.S.A.Quantity: 1 available
Tapa blanda. Condition: Nuevo.
- Softcover
Seller: Buchpark, Trebbin, GermanyBuchpark
Contact seller5-star sellerCondition: Used
£ 21.52
£ 89.95 shippingShips from Germany to U.S.A.Quantity: 1 available
Condition: Hervorragend. Zustand: Hervorragend | Seiten: 340 | Sprache: Englisch | Produktart: Bücher | Machine Learning for Undergraduate Students is a comprehensive guide designed to make the complex world of machine learning accessible to beginners. This book introduces foundational concepts, starting with the need for machin…e learning, its relationship with other fields, and its diverse applications. Through a structured exploration of essential topics, readers will gain a clear understanding of data analysis, including univariate, bivariate, and multivariate statistics, as well as techniques like feature engineering and dimensionality reduction. Building on these basics, the book delves into core machine learning methodologies. Topics include similarity-based learning, regression analysis, decision tree algorithms, and Bayesian learning. The chapters also introduce artificial neural networks, explaining their biological inspiration, architecture, and applications. Advanced subjects such as clustering algorithms, proximity measures, and reinforcement learning-covering Q-Learning and SARSA-are presented with clarity, ensuring a thorough understanding of each concept. With engaging examples and detailed figures and tables (52 figures and 44 tables), this book provides learners with a strong foundation in machine learning concepts, preparing them to explore opportunities in both academic and professional settings. Designed for undergraduates, career changers, and anyone curious about this rapidly evolving field of machine learning, this textbook serves as a valuable resource for understanding and navigating its complexities.
- Softcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
Contact seller4-star sellerCondition: New
£ 27.13
£ 6.50 shippingShips from United Kingdom to U.S.A.Quantity: 4 available
Condition: New. Print on Demand.
- Softcover
- Print on Demand
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
Contact seller4-star sellerCondition: New
£ 33.04
£ 2.93 shippingShips within U.S.A.Quantity: 4 available
Condition: New. Print on Demand.
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
Contact seller4-star sellerCondition: New
£ 28.76
£ 8.52 shippingShips from Germany to U.S.A.Quantity: 4 available
Condition: New. PRINT ON DEMAND.
- Softcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
Contact seller4-star sellerCondition: New
£ 29.09
£ 6.50 shippingShips from United Kingdom to U.S.A.Quantity: 4 available
Condition: New. Print on Demand.
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
Contact seller4-star sellerCondition: New
£ 31.12
£ 8.52 shippingShips from Germany to U.S.A.Quantity: 4 available
Condition: New. PRINT ON DEMAND.
- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
£ 27.39
£ 54.54 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine Learning for Undergraduate Students is a comprehensive guide designed to make the complex world of machine learning accessible to beginners. This book introduces foundational concepts, starting with the need for machine learning,… its relationship with other fields, and its diverse applications. Through a structured exploration of essential topics, readers will gain a clear understanding of data analysis, including univariate, bivariate, and multivariate statistics, as well as techniques like feature engineering and dimensionality reduction. Building on these basics, the book delves into core machine learning methodologies. Topics include similarity-based learning, regression analysis, decision tree algorithms, and Bayesian learning. The chapters also introduce artificial neural networks, explaining their biological inspiration, architecture, and applications. Advanced subjects such as clustering algorithms, proximity measures, and reinforcement learning-covering Q-Learning and SARSA-are presented with clarity, ensuring a thorough understanding of each concept. With engaging examples and detailed figures and tables (52 figures and 44 tables), this book provides learners with a strong foundation in machine learning concepts, preparing them to explore opportunities in both academic and professional settings. Designed for undergraduates, career changers, and anyone curious about this rapidly evolving field of machine learning, this textbook serves as a valuable resource for understanding and navigating its complexities.
