{"product_id":"data-mining-practical-machine-learning-tools-and-techniques-ian-h-witten-computer-science-department-university-of-waikato-new-zealand-9780443158889","title":"Data Mining: Practical Machine Learning Tools and Techniques","description":"\u003cp\u003e\u003cstrong\u003eData Mining: Practical Machine Learning Tools and Techniques\u003c\/strong\u003e is a textbook written by Ian H. Witten and colleagues, intended for professionals and students who want to delve into machine learning and data mining. The book offers a thorough and practical introduction to machine learning, with attention to tools and techniques for analyzing and interpreting large datasets.\u003c\/p\u003e\u003cp\u003eThis fifth edition includes extensive updates on recent developments, such as generative AI (GANs, VAEs, diffusion models), large language models (transformers, BERT, GPT), and vulnerabilities arising from adversarial examples. In addition, it covers the ethical aspects and responsible use of artificial intelligence. The authors combine proven methods with contemporary research for an up-to-date overview of data mining.\u003c\/p\u003e\u003ch3\u003eProduct specifications\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\u003cli\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Ian H. Witten (Department of Computer Science, University of Waikato, New Zealand)\u003c\/li\u003e\u003cli\u003e\u003cstrong\u003ePublisher:\u003c\/strong\u003e Elsevier Science \u0026amp; Technology\u003c\/li\u003e\u003cli\u003e\u003cstrong\u003eImprint:\u003c\/strong\u003e Morgan Kaufmann Publishers\u003c\/li\u003e\u003cli\u003e\u003cstrong\u003ePublication date:\u003c\/strong\u003e 2025-05-06\u003c\/li\u003e\u003cli\u003e\u003cstrong\u003eNumber of pages:\u003c\/strong\u003e 688\u003c\/li\u003e\u003cli\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 9780443158889\u003c\/li\u003e\u003cli\u003e\u003cstrong\u003eTheme:\u003c\/strong\u003e Data mining\u003c\/li\u003e\u003cli\u003e\u003cstrong\u003eBISAC:\u003c\/strong\u003e COMPUTERS \/ Data Science \/ Data Analytics\u003c\/li\u003e\u003cp\u003e\u003c\/p\u003e\u003c\/ul\u003e\u003ch3\u003eAbout the author\u003c\/h3\u003e\u003cp\u003eIan H. Witten is a professor of computer science at the University of Waikato in New Zealand. His research focuses on information storage, machine learning, text compression, and programming by demonstration. He is a member of the ACM and the Royal Society of New Zealand and has a broad publication history in the scientific field of digital libraries and artificial intelligence.\u003c\/p\u003e","brand":"Intertaal","offers":[{"title":"Default Title","offer_id":56354512699732,"sku":"9780443158889","price":69.95,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0967\/0538\/0692\/files\/data-mining-practical-machine-learning-tools-and-techniques-boek-798.webp?v=1783597029","url":"https:\/\/intertaalid.nl\/en\/products\/data-mining-practical-machine-learning-tools-and-techniques-ian-h-witten-computer-science-department-university-of-waikato-new-zealand-9780443158889","provider":"Intertaal","version":"1.0","type":"link"}