ISBN: 9786209809231 - machine learning essentials: algorithms, data mining, and deep network (8 Ergebnisse)

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  • Sprache: Englisch

    Verlag: LAP Lambert Academic Publishing, 2026

    6209809235 / 9786209809231

    • Softcover

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  • Sprache: Englisch

    Verlag: LAP LAMBERT Academic Publishing, 2026

    6209809235 / 9786209809231

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    PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Sprache: Englisch

    Verlag: LAP LAMBERT Academic Publishing, 2026

    6209809235 / 9786209809231

    • Softcover
    • Print-on-Demand

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    PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Sprache: Englisch

    Verlag: LAP Lambert Academic Publishing, 2026

    6209809235 / 9786209809231

    • Softcover
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    Paperback. Zustand: 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.…

  • Sprache: Englisch

    Verlag: LAP LAMBERT Academic Publishing, 2026

    6209809235 / 9786209809231

    • Softcover
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    Taschenbuch. Zustand: 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.…

  • Sprache: Englisch

    Verlag: LAP Lambert Academic Publishing, 2026

    6209809235 / 9786209809231

    • Softcover
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    Paperback. Zustand: 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.…

  • Sprache: Englisch

    Verlag: LAP LAMBERT Academic Publishing Jul 2026, 2026

    6209809235 / 9786209809231

    • Softcover
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    Taschenbuch. Zustand: 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.…

  • Sprache: Englisch

    Verlag: LAP Lambert Academic Publishing, 2026

    6209809235 / 9786209809231

    • Softcover
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    Zustand: Neu

    EUR 132,46

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    Paperback. Zustand: 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 Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…