{"product_id":"9781680831702","title":"Introduction to Online Convex Optimization","description":"\u003cp\u003e\u003cem\u003eIntroduction to \u003c\/em\u003e\u003cem\u003eOnline Convex Optimization\u003c\/em\u003e portrays optimization as a process. In many practical applications the environment is so complex that it is infeasible to lay out a comprehensive theoretical model and use classical algorithmic theory and mathematical optimization. It is necessary as well as beneficial to take a robust approach, by applying an optimization method that learns as one goes along, learning from experience as more aspects of the problem are observed. This view of optimization as a process has become prominent in varied fields and has led to some spectacular success in modeling and systems that are now part of our daily lives.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cem\u003eIntroduction to \u003c\/em\u003e\u003cem\u003eOnline Convex Optimization\u003c\/em\u003e is intended to serve as a reference for a self-contained course on online convex optimization and the convex optimization approach to machine learning for the educated graduate student in computer science\/electrical engineering\/ operations research\/statistics and related fields. It is also an ideal reference for the researcher diving into this fascinating world at the intersection of optimization and machine learning.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e","brand":"Now Publishers","offers":[{"title":"Default Title","offer_id":47054349467888,"sku":"9781680831702","price":99.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781680831702_p0.jpg?v=1763690865","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781680831702","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}