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Machine Learning: The New AI

Ethem Alpaydin (OEzyegin University)



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Massachusetts Inst of Tec
15 September 2016
History of engineering & technology; Machine learning
A concise overview of machine learning-computer programs that learn from data-which underlies applications that include recommendation systems, face recognition, and driverless cars.

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.
By:   Ethem Alpaydin (OEzyegin University)
Imprint:   Massachusetts Inst of Tec
Country of Publication:   United States
Dimensions:   Height: 178mm,  Width: 127mm,  Spine: 11mm
Weight:   181g
ISBN:   9780262529518
ISBN 10:   0262529513
Series:   MIT Press Essential Knowledge series
Pages:   216
Publication Date:   15 September 2016
Recommended Age:   From 18 years
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Unspecified

Ethem Alpaydin is Professor in the Department of Computer Engineering at Bogazici University, Istanbul. He is the author of the widely used textbook Introduction to Machine Learning, now in its third edition (MIT Press).

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