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Machine Learning: The New AI
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 everyday, including driverless cars. It is the basis of the new approach in computing where we do not write programs but collect data; the idea is to learn the algorithms for the tasks automatically from data. As computing devices grow more ubiquitous, a larger part of our lives and work is recorded digitally, and as "Big Data" has gotten bigger, the theory of machine learning -- the foundation of efforts to process that data into knowledge -- has also advanced. In this book, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general reader, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context. He describes the basics of machine learning and some applications; the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances, with such applications as customer segmentation and learning recommendations; and reinforcement learning, when an autonomous agent learns act so as to maximize reward and minimize penalty. Alpaydin then considers some future directions for machine learning and the new field of "data science," and discusses the ethical and legal implications for data privacy and security.
224 pages, Unknown Binding
Published September 30, 2016
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About the author
Ethem Alpaydin
7Ìýbooks14ÌýfollowersEthem ALPAYDIN received his BSc from Department of Computer Engineering of Bogazici University in 1987 and the degree of Docteur es Sciences from Ecole Polytechnique Fédérale de Lausanne in 1990. He did his postdoctoral work at the International Computer Science Institute, Berkeley in 1991 and afterwards was appointed Assistant Professor at the Department of Computer Engineering of Bogazici University. He was appointed Associate Professor in 1996 and Professor in 2002 in the same department.
As visiting researcher, he worked at Department of Brain and Cognitive Sciences, MIT in 1994, International Computer Science Institute, Berkeley in 1997, IDIAP, Switzerland in 1998, and TU Delft in 2014.
He was Fulbright Senior Scholar in 1997/1998 and received the Research Excellence Award from the Bogazici University Foundation in 1998 (junior faculty) and 2008 (senior faculty), the Young Scientist Award from the Turkish Academy of Sciences in 2001 and the Scientific Encouragement Award from the Turkish Scientific and Technical Research Council in 2002.
His book Introduction to Machine Learning was published by The MIT Press in October 2004; its German edition was published by Oldenbourg Verlag in May 2008, and Chinese edition was published by Huazhang Press in June 2009. Introduction to Machine Learning, second edition was published by The MIT Press in February 2010; its Turkish edition was published by Bogazici University Press in April 2011 and Chinese edition was published by Huazhang Press in June 2014. Introduction to Machine Learning, third edition was published by The MIT Press in August 2014.
He was an Editorial Board Member of The Computer Journal (Oxford University Press) in 2008-2014. He is a Member of The Science Academy, Turkey, Senior Member of the IEEE, and an Editorial Board Member of Pattern Recognition (Elsevier).
As visiting researcher, he worked at Department of Brain and Cognitive Sciences, MIT in 1994, International Computer Science Institute, Berkeley in 1997, IDIAP, Switzerland in 1998, and TU Delft in 2014.
He was Fulbright Senior Scholar in 1997/1998 and received the Research Excellence Award from the Bogazici University Foundation in 1998 (junior faculty) and 2008 (senior faculty), the Young Scientist Award from the Turkish Academy of Sciences in 2001 and the Scientific Encouragement Award from the Turkish Scientific and Technical Research Council in 2002.
His book Introduction to Machine Learning was published by The MIT Press in October 2004; its German edition was published by Oldenbourg Verlag in May 2008, and Chinese edition was published by Huazhang Press in June 2009. Introduction to Machine Learning, second edition was published by The MIT Press in February 2010; its Turkish edition was published by Bogazici University Press in April 2011 and Chinese edition was published by Huazhang Press in June 2014. Introduction to Machine Learning, third edition was published by The MIT Press in August 2014.
He was an Editorial Board Member of The Computer Journal (Oxford University Press) in 2008-2014. He is a Member of The Science Academy, Turkey, Senior Member of the IEEE, and an Editorial Board Member of Pattern Recognition (Elsevier).
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