{"product_id":"systems-that-learn-an-introduction-to-learning-theory-for-cognitive-and-computer-scientists-paperback","title":"Systems That Learn: An Introduction to Learning Theory for Cognitive and Computer Scientists - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eDaniel N. Osherson\u003c\/b\u003e (Author), \u003cb\u003eMichael Stob\u003c\/b\u003e (Author), \u003cb\u003eScott Weinstein\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eA mathematical framework for the study of learning in a variety of domains.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eSystems That Learn presents a mathematical framework for the study of learning in a variety of domains. It provides the basic concepts and techniques of learning theory as well as a comprehensive account of what is currently known about a variety of learning paradigms.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 230\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.6 x 8.9 x 5.9 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e March 14, 1990\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48290362556665,"sku":"9780262650243","price":54.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/cg1NDjkgef9780262650243.webp?v=1776283223","url":"https:\/\/bookscloud.io\/products\/systems-that-learn-an-introduction-to-learning-theory-for-cognitive-and-computer-scientists-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}