{"product_id":"data-mining-practical-machine-learning-tools-and-techniques-9780443158889","title":"Data Mining: Practical Machine Learning Tools and Techniques","description":"\u003cp\u003e\u003ci\u003eData Mining: Practical Machine Learning Tools and Techniques, Fifth Edition, \u003c\/i\u003eoffers 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. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eExtensive 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\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cb\u003e\u003ci\u003eWitten, Ian H.:\u003c\/i\u003e\u003c\/b\u003e - Ian H. Witten is a professor of computer science at the University of Waikato in New Zealand. He directs the New Zealand Digital Library research project. His research interests include information retrieval, machine learning, text compression, and programming by demonstration. He received an MA in Mathematics from Cambridge University, England; an MSc in Computer Science from the University of Calgary, Canada; and a PhD in Electrical Engineering from Essex University, England. He is a fellow of the ACM and of the Royal Society of New Zealand. He has published widely on digital libraries, machine learning, text compression, hypertext, speech synthesis and signal processing, and computer typography.\u003cb\u003e\u003ci\u003eHall, Mark A.:\u003c\/i\u003e\u003c\/b\u003e - Mark A. Hall holds a bachelor's degree in computing and mathematical sciences and a Ph.D. in computer science, both from the University of Waikato. Throughout his time at Waikato, as a student and lecturer in computer science and more recently as a software developer and data mining consultant for Pentaho, an open-source business intelligence software company, Mark has been a core contributor to the Weka software described in this book. He has published several articles on machine learning and data mining and has refereed for conferences and journals in these areas.\u003cb\u003e\u003ci\u003ePal, Christopher J.:\u003c\/i\u003e\u003c\/b\u003e - Christopher J. Pal is a Canada CIFAR AI Chair and a full professor at the Department of Computer Engineering and Software Engineering at Polytechnique Montréal. Pal's research interests include computer vision and pattern recognition, computational photography, natural language processing, statistical machine learning and applications to human computer interaction.\u003cbr\u003eEt al...\u003cbr\u003e","brand":"Morgan Kaufmann Publishers","offers":[{"title":"Default Title","offer_id":51358932926738,"sku":"9780443158889","price":83.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_3b377fbd-ce7d-48e4-ba58-f25ed49c67d7.jpg?v=1749575499","url":"https:\/\/surprise-castle.myshopify.com\/products\/data-mining-practical-machine-learning-tools-and-techniques-9780443158889","provider":"Surprise Castle","version":"1.0","type":"link"}