{"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 overview of machine learning--computer programs that learn from data--the basis of such applications as voice recognition and driverless cars.\u003c\/b\u003e \u003c\/p\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 everyday, 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, author of a popular textbook on machine learning, explains that as \"Big Data\" has gotten bigger, the theory of machine learning--the foundation of efforts to process that data into knowledge--has also advanced. He describes the evolution of the field, explains important learning algorithms, and presents example applications. He discusses the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances; and reinforcement learning, when an autonomous agent learns to take actions to maximize reward. In a new chapter, he considers transparency, explainability, and fairness, and the ethical and legal implications of making decisions based on data.\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":"BooksCloud","offers":[{"title":"Default Title","offer_id":44434070339686,"sku":"9780262542524","price":26.71,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0599\/7255\/0758\/files\/aUo1Q0lHVmoveVhFa1grQW5URlhjUT09.webp?v=1770418310","url":"https:\/\/infinitylightwa.com\/products\/machine-learning-revised-and-updated-edition-paperback","provider":"Infinity Light","version":"1.0","type":"link"}