{"product_id":"machine-learning-revised-and-updated-edition-9780262542524","title":"Machine Learning, Revised and Updated Edition","description":"\u003cb\u003eMIT presents a 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\u003cbr\u003e \u003cb\u003e \u003c\/b\u003e\u003cbr\u003e \u003cb\u003eNo in-depth knowledge of math or programming required!\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e Today, 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\u003e Alpaydin 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\u003e A 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.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\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.\u003cbr\u003e","brand":"MIT Press","offers":[{"title":"Default Title","offer_id":50598801211666,"sku":"9780262542524","price":11.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_95eb0d73-7a56-4a1f-86f9-2c19c51c5a04.jpg?v=1732191430","url":"https:\/\/surprise-castle.myshopify.com\/products\/machine-learning-revised-and-updated-edition-9780262542524","provider":"Surprise Castle","version":"1.0","type":"link"}