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Synopsis
This book provides a comprehensive introduction to Machine Learning, covering both fundamental concepts and advanced techniques. It begins with the basics of machine learning, including supervised, unsupervised, and reinforcement learning, followed by the mathematical foundations such as linear algebra, probability, statistics, calculus, and information theory. The book then explores key machine learning algorithms including regression, classification, clustering, ensemble learning, neural networks, deep learning, CNNs, RNNs, transformers, large language models, GANs, diffusion models, reinforcement learning, and graph neural networks.
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MACHINE LEARNING Foundations, Algorithms, and Applications
Published by
LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6630120280
ISBN 13: 9786630120288
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PAP
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9786630120288
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MACHINE LEARNING Foundations, Algorithms, and Applications (Paperback)
Published by
LAP Lambert Academic Publishing, 2026
ISBN 10: 6630120280
ISBN 13: 9786630120288
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Paperback
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Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. This book provides a comprehensive introduction to Machine Learning, covering both fundamental concepts and advanced techniques. It begins with the basics of machine learning, including supervised, unsupervised, and reinforcement learning, followed by the mathematical foundations such as linear algebra, probability, statistics, calculus, and information theory. The book then explores key machine learning algorithms including regression, classification, clustering, ensemble learning, neural networks, deep learning, CNNs, RNNs, transformers, large language models, GANs, diffusion models, reinforcement learning, and graph neural networks. 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 # 9786630120288
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MACHINE LEARNING Foundations, Algorithms, and Applications
Published by
LAP Lambert Academic Publishing, 2026
ISBN 10: 6630120280
ISBN 13: 9786630120288
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Softcover
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Condition: New. Seller Inventory # I-9786630120288
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MACHINE LEARNING Foundations, Algorithms, and Applications
Published by
LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6630120280
ISBN 13: 9786630120288
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PAP
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9786630120288
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MACHINE LEARNING Foundations, Algorithms, and Applications
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LAP LAMBERT Academic Publishing Aug 2026, 2026
ISBN 10: 6630120280
ISBN 13: 9786630120288
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 152 pp. Englisch. Seller Inventory # 9786630120288
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MACHINE LEARNING Foundations, Algorithms, and Applications
Published by
LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6630120280
ISBN 13: 9786630120288
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Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides a comprehensive introduction to Machine Learning, covering both fundamental concepts and advanced techniques. It begins with the basics of machine learning, including supervised, unsupervised, and reinforcement learning, followed by the mathematical foundations such as linear algebra, probability, statistics, calculus, and information theory. The book then explores key machine learning algorithms including regression, classification, clustering, ensemble learning, neural networks, deep learning, CNNs, RNNs, transformers, large language models, GANs, diffusion models, reinforcement learning, and graph neural networks. Seller Inventory # 9786630120288
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MACHINE LEARNING Foundations, Algorithms, and Applications (Paperback)
Published by
LAP Lambert Academic Publishing, 2026
ISBN 10: 6630120280
ISBN 13: 9786630120288
New
Paperback
Seller: CitiRetail, Stevenage, United Kingdom
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Paperback. Condition: new. Paperback. This book provides a comprehensive introduction to Machine Learning, covering both fundamental concepts and advanced techniques. It begins with the basics of machine learning, including supervised, unsupervised, and reinforcement learning, followed by the mathematical foundations such as linear algebra, probability, statistics, calculus, and information theory. The book then explores key machine learning algorithms including regression, classification, clustering, ensemble learning, neural networks, deep learning, CNNs, RNNs, transformers, large language models, GANs, diffusion models, reinforcement learning, and graph neural networks. 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 # 9786630120288
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