{"product_id":"machine-learning-revised-and-updated-edition-paperback","title":"Machine Learning, Revised and Updated Edition - 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\u003eEthem Alpaydin\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cb\u003eA concise primer on machine learning--computer programs that learn from data and the basis of applications like voice recognition and driverless cars.\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cb\u003eNo in-depth knowledge of math or programming required!\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eToday, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition--as well as some we don't yet use every day, including driverless cars. It is the basis for a new approach to artificial intelligence that aims to program computers to use example data or past experience to solve a given problem. In this volume in the MIT Press Essential Knowledge series, Ethem Alpaydin offers a concise and accessible overview of \"the new AI.\" This expanded edition offers new material on such challenges facing machine learning as privacy, security, accountability, and bias. \u003cp\u003e\u003c\/p\u003eAlpaydin explains that as Big Data has grown, the theory of machine learning--the foundation of efforts to process that data into knowledge--has also advanced. He covers: \u003cp\u003e\u003c\/p\u003e- The evolution of machine learning\u003cbr\u003e- Important learning algorithms and example applications\u003cbr\u003e- Using machine learning algorithms for pattern recognition\u003cbr\u003e- Artificial neural networks inspired by the human brain\u003cbr\u003e- Algorithms that learn associations between instances\u003cbr\u003e- Reinforcement learning\u003cbr\u003e- Transparency, explainability, and fairness in machine learning\u003cbr\u003e- The ethical and legal implicates of data-based decision making \u003cp\u003e\u003c\/p\u003eA comprehensive introduction to machine learning, this book does not require any previous knowledge of mathematics or programming--making it accessible for everyday readers and easily adoptable for classroom syllabi.\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eEthem Alpaydín is Professor in the Department of Computer Engineering at Özyegin University and a member of the Science Academy, Istanbul. He is the author of the widely used textbook, \u003ci\u003eIntroduction to Machine Learning\u003c\/i\u003e (MIT Press), now in its fourth edition.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 280\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.7 x 6.9 x 5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 17, 2021\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":50334415225069,"sku":"9780262542524","price":18.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0020\/8918\/9441\/files\/B4RjM21NOW9780262542524.webp?v=1785012600","url":"https:\/\/www.webster.direct\/en-ca\/products\/machine-learning-revised-and-updated-edition-paperback","provider":"Webster.Direct","version":"1.0","type":"link"}