This book introduces the fundamental principles of machine learning, beginning with the basics of data analysis and the different types of learning approaches. It explains key supervised and unsupervised learning algorithms, data preprocessing techniques, feature engineering, visualization methods, and model evaluation. The final chapters provide an introduction to deep learning concepts, including optimization, neural networks, and model validation. Written in a clear and structured manner, this book serves as an essential resource for students, researchers, and professionals seeking a practical foundation in machine learning and artificial intelligence.
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Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. This book introduces the fundamental principles of machine learning, beginning with the basics of data analysis and the different types of learning approaches. It explains key supervised and unsupervised learning algorithms, data preprocessing techniques, feature engineering, visualization methods, and model evaluation. The final chapters provide an introduction to deep learning concepts, including optimization, neural networks, and model validation. Written in a clear and structured manner, this book serves as an essential resource for students, researchers, and professionals seeking a practical foundation in machine learning and artificial intelligence. 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 # 9786209809231
Seller: California Books, Miami, FL, U.S.A.
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Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9786209809231
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Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Machine Learning Essentials: Algorithms, Data Mining, and Deep Network | Sundaresan Kalappan (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209809231 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 136194599
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Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. This book introduces the fundamental principles of machine learning, beginning with the basics of data analysis and the different types of learning approaches. It explains key supervised and unsupervised learning algorithms, data preprocessing techniques, feature engineering, visualization methods, and model evaluation. The final chapters provide an introduction to deep learning concepts, including optimization, neural networks, and model validation. Written in a clear and structured manner, this book serves as an essential resource for students, researchers, and professionals seeking a practical foundation in machine learning and artificial intelligence. 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 # 9786209809231
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book introduces the fundamental principles of machine learning, beginning with the basics of data analysis and the different types of learning approaches. It explains key supervised and unsupervised learning algorithms, data preprocessing techniques, feature engineering, visualization methods, and model evaluation. The final chapters provide an introduction to deep learning concepts, including optimization, neural networks, and model validation. Written in a clear and structured manner, this book serves as an essential resource for students, researchers, and professionals seeking a practical foundation in machine learning and artificial intelligence. 216 pp. Englisch. Seller Inventory # 9786209809231
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Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book introduces the fundamental principles of machine learning, beginning with the basics of data analysis and the different types of learning approaches. It explains key supervised and unsupervised learning algorithms, data preprocessing techniques, feature engineering, visualization methods, and model evaluation. The final chapters provide an introduction to deep learning concepts, including optimization, neural networks, and model validation. Written in a clear and structured manner, this book serves as an essential resource for students, researchers, and professionals seeking a practical foundation in machine learning and artificial intelligence. Seller Inventory # 9786209809231
Quantity: 2 available