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Sinopsis
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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Machine Learning Essentials (Paperback)
Publicado por
LAP Lambert Academic Publishing, 2026
ISBN 10: 6209809235
ISBN 13: 9786209809231
Nuevo
Paperback
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: 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. Nº de ref. del artículo: 9786209809231
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Machine Learning Essentials: Algorithms, Data Mining, and Deep Network
Publicado por
LAP Lambert Academic Publishing, 2026
ISBN 10: 6209809235
ISBN 13: 9786209809231
Nuevo
Tapa blanda
Librería: California Books, Miami, FL, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Condición: New. Nº de ref. del artículo: I-9786209809231
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EUR 109,81
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Machine Learning Essentials: Algorithms, Data Mining, and Deep Network
Publicado por
LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6209809235
ISBN 13: 9786209809231
Nuevo
PAP
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: L2-9786209809231
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Machine Learning Essentials: Algorithms, Data Mining, and Deep Network
Publicado por
LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6209809235
ISBN 13: 9786209809231
Nuevo
Taschenbuch
Librería: preigu, Osnabrück, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 136194599
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Machine Learning Essentials: Algorithms, Data Mining, and Deep Network
Publicado por
LAP LAMBERT Academic Publishing Jul 2026, 2026
ISBN 10: 6209809235
ISBN 13: 9786209809231
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9786209809231
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Machine Learning Essentials (Paperback)
Publicado por
LAP Lambert Academic Publishing, 2026
ISBN 10: 6209809235
ISBN 13: 9786209809231
Nuevo
Paperback
Librería: CitiRetail, Stevenage, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: 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. Nº de ref. del artículo: 9786209809231
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Machine Learning Essentials: Algorithms, Data Mining, and Deep Network
Publicado por
LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6209809235
ISBN 13: 9786209809231
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9786209809231
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