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Sprache: Englisch
Verlag: Elsevier Science & Technology, 2016
ISBN 10: 0128042915 ISBN 13: 9780128042915
Anbieter: Better World Books Ltd, Dunfermline, Vereinigtes Königreich
EUR 16,86
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Soft cover. Zustand: New. ISBN:9789351073895,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.
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Soft cover. Zustand: New. Zustand des Schutzumschlags: New. International Edition. **INTERNATIONAL EDITION** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments go through via USPS/UPS/DHL with tracking numbers. Great professional textbook selling experience and expedite shipping service.
Sprache: Englisch
Verlag: Morgan Kaufmann (edition 5), 2025
ISBN 10: 0443158886 ISBN 13: 9780443158889
Anbieter: BooksRun, Philadelphia, PA, USA
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Sprache: Englisch
Verlag: Elsevier Science and Technology, US, 2025
ISBN 10: 0443158886 ISBN 13: 9780443158889
Anbieter: Rarewaves USA, OSWEGO, IL, USA
Paperback. Zustand: New. **2026 Textbook and Academic Authors Association (TAA) Textbook Excellence "Texty" Award Winner**Data Mining: Practical Machine Learning Tools and Techniques, Fifth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated new edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including more recent deep learning content on topics such as generative AI (GANs, VAEs, diffusion models), large language models (transformers, BERT and GPT models), and adversarial examples, as well as a comprehensive treatment of ethical and responsible artificial intelligence topics. Authors Ian H. Witten, Eibe Frank, Mark A. Hall, and Christopher J. Pal, along with new author James R. Foulds, include today's techniques coupled with the methods at the leading edge of contemporary research.
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In den WarenkorbPaperback. Zustand: Brand New. 5th edition. 688 pages. 9.25x7.50x9.20 inches. In Stock.
Sprache: Englisch
Verlag: Elsevier Science and Technology, US, 2025
ISBN 10: 0443158886 ISBN 13: 9780443158889
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
EUR 114,80
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In den WarenkorbPaperback. Zustand: New. **2026 Textbook and Academic Authors Association (TAA) Textbook Excellence "Texty" Award Winner**Data Mining: Practical Machine Learning Tools and Techniques, Fifth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated new edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including more recent deep learning content on topics such as generative AI (GANs, VAEs, diffusion models), large language models (transformers, BERT and GPT models), and adversarial examples, as well as a comprehensive treatment of ethical and responsible artificial intelligence topics. Authors Ian H. Witten, Eibe Frank, Mark A. Hall, and Christopher J. Pal, along with new author James R. Foulds, include today's techniques coupled with the methods at the leading edge of contemporary research.
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In den WarenkorbPaperback. Zustand: Brand New. 4th edition. 621 pages. 9.25x7.50x1.25 inches. In Stock.
Zustand: New. Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projectsPresents concrete tips and techniques for performance improvement that work by transforming .
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In den WarenkorbPaperback. Zustand: Brand New. 4th edition. 621 pages. 9.25x7.50x1.25 inches. In Stock.
Sprache: Englisch
Verlag: Elsevier Science and Technology, US, 2025
ISBN 10: 0443158886 ISBN 13: 9780443158889
Anbieter: Rarewaves USA United, OSWEGO, IL, USA
Paperback. Zustand: New. **2026 Textbook and Academic Authors Association (TAA) Textbook Excellence "Texty" Award Winner**Data Mining: Practical Machine Learning Tools and Techniques, Fifth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated new edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including more recent deep learning content on topics such as generative AI (GANs, VAEs, diffusion models), large language models (transformers, BERT and GPT models), and adversarial examples, as well as a comprehensive treatment of ethical and responsible artificial intelligence topics. Authors Ian H. Witten, Eibe Frank, Mark A. Hall, and Christopher J. Pal, along with new author James R. Foulds, include today's techniques coupled with the methods at the leading edge of contemporary research.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 130,21
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In den WarenkorbPaperback. Zustand: Brand New. 5th edition. 688 pages. 9.25x7.50x9.20 inches. In Stock.
Sprache: Englisch
Verlag: Elsevier Science and Technology, US, 2025
ISBN 10: 0443158886 ISBN 13: 9780443158889
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
EUR 107,29
Anzahl: 3 verfügbar
In den WarenkorbPaperback. Zustand: New. **2026 Textbook and Academic Authors Association (TAA) Textbook Excellence "Texty" Award Winner**Data Mining: Practical Machine Learning Tools and Techniques, Fifth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated new edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including more recent deep learning content on topics such as generative AI (GANs, VAEs, diffusion models), large language models (transformers, BERT and GPT models), and adversarial examples, as well as a comprehensive treatment of ethical and responsible artificial intelligence topics. Authors Ian H. Witten, Eibe Frank, Mark A. Hall, and Christopher J. Pal, along with new author James R. Foulds, include today's techniques coupled with the methods at the leading edge of contemporary research.