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Construct-a-Venture: Building Tales with Syd and Friends!
Language: English
Published by Independently published, 2019
ISBN 10: 1092282297 ISBN 13: 9781092282291
US$ 13.78
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Add to basketPaperback. Condition: Brand New. 42 pages. 10.70x8.30x0.30 inches. In Stock.
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Data Mining: Practical Machine Learning Tools and Techniques
Language: English
Published by Morgan Kaufmann (edition 5), 2025
ISBN 10: 0443158886 ISBN 13: 9780443158889
Paperback. Condition: Very Good. 5. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Data Mining: Practical Machine Learning Tools and Techniques
Language: English
Published by Morgan Kaufmann (edition 5), 2025
ISBN 10: 0443158886 ISBN 13: 9780443158889
Paperback. Condition: Very Good. 5. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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US$ 76.14
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Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Data Mining (Paperback)
Language: English
Published by Elsevier Science & Technology, San Francisco, 2025
ISBN 10: 0443158886 ISBN 13: 9780443158889
Paperback. Condition: new. Paperback. Data Mining: Practical Machine Learning Tools and Techniques Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condition: New. 5th edition NO-PA16APR2015-KAP.
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Data Mining : Practical Machine Learning Tools and Techniques
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Data Mining: Practical Machine Learning Tools and Techniques
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 90.21
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Data Mining : Practical Machine Learning Tools and Techniques
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 93.14
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US$ 96.46
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Add to basketPaperback. Condition: Brand New. 201 pages. 10.75x8.25x0.50 inches. In Stock.
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Data Mining: Practical Machine Learning Tools and Techniques
Language: English
Published by Elsevier Science & Technology, 2025
ISBN 10: 0443158886 ISBN 13: 9780443158889
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 94.31
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US$ 89.99
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Add to basketPaperback. Condition: Brand New. 5th edition. 688 pages. 9.25x7.50x9.20 inches. In Stock.
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Data Mining
Language: English
Published by Elsevier Science and Technology, US, 2025
ISBN 10: 0443158886 ISBN 13: 9780443158889
Paperback. Condition: 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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Data Mining
Language: English
Published by Elsevier Science and Technology, US, 2025
ISBN 10: 0443158886 ISBN 13: 9780443158889
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: 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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Condition: 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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Data Mining
Language: English
Published by Elsevier Science and Technology, US, 2025
ISBN 10: 0443158886 ISBN 13: 9780443158889
Paperback. Condition: 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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Data Mining (Paperback)
Language: English
Published by Elsevier Science & Technology, San Francisco, 2025
ISBN 10: 0443158886 ISBN 13: 9780443158889
Paperback. Condition: new. Paperback. Data Mining: Practical Machine Learning Tools and Techniques Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Data Mining
Language: English
Published by Elsevier Science and Technology, US, 2025
ISBN 10: 0443158886 ISBN 13: 9780443158889
US$ 124.11
US$ 86.80 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: 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.
