{"product_id":"machine-learning-paradigms-and-methods-9780262530880","title":"Machine Learning: Paradigms and Methods","description":"\u003cp\u003e • Author(s): Jaime Carbonell\u003cbr\u003e • Publisher: MIT Press\u003cbr\u003e • Publisher Imprint: MIT Press\u003cbr\u003e • BISAC: Intelligence (AI) \u0026amp; Semantics\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eHaving played a central role at the inception of artificial intelligence research, machine learning has recently reemerged as a major area of study at the very core of the subject. Solid theoretical foundations are being constructed. Machine learning methods are being integrated with powerful performance systems, and practical applications; based on established techniques are emerging.Machine Learning unifies the field by bringing together and clearly explaining the major successful paradigms for machine learning: inductive approaches, explanation-based learning, genetic algorithms, and connectionist learning methods. Each paradigm is presented in depth, providing historical perspective but focusing on current research and potential applications.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eContributors\u003cbr\u003e\u003c\/b\u003eJohn R. Anderson, L. B. Booker, John. H. Gennari, Jaime G. Carbonell, Oren Etzioni, Doug Fisher, Yolanda Gil, D. E. Goldberg, Gerald E. Hinton, J. H. Holland, Craig A Knoblock, Daniel. R. Kuokka, Pat Langley, David B. Leake, Steve Minton, Jack Mostow, Roger C. Schank, and Jan M. Zytkow\u003c\/p\u003e","brand":"MIT Press","offers":[{"title":"Paperback","offer_id":47813874614423,"sku":"9780262530880","price":5261.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9780262530880.webp?v=1778339129","url":"https:\/\/atlanticbooks.com\/products\/machine-learning-paradigms-and-methods-9780262530880","provider":"Atlantic Books","version":"1.0","type":"link"}