Machine Learning: The New AI (MIT Press Essential Knowledge series)
Language: English
Published by The MIT Press, 2016
- First Edition
- Softcover
- Used
Seller: Armadillo Books, Chapel Hill, NC, U.S.A.Armadillo Books
AbeBooks seller since April 21, 1998
Condition: Used - As new
£ 4.61
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Add to basketItem description from seller
Mint condition! An "as new" copy -- crisp, bright, and tight -- with no markings and no defects of any kind. First edition; first printing (full number line present). Suitable condition for adding to a library, or for presentation as a gift. (206 pages.) "A concise overview of machine learning, a type of artificial intelligence that enables computers to learn from large data sets and is the basis of numerous developments -- from speech recognition to driverless cars." Ships from NC. All paper bound items are sealed in recycled plastic, packaged securely with recycled cardboard backing, and shipped promptly. (I-2.).
Seller Inventory # 720230218
- Title
- Machine Learning: The New AI (MIT Press Essential Knowledge series)
- Author
- Ethem Alpaydin
- Publisher
- The MIT Press
- Publication year
- 2016
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0262529513
- ISBN 13
- 9780262529518
- Edition
- 1st Edition
- Series
- Book 23 of 115: MIT Press Essential Knowledge
- Seller catalogs
- Computers/Internet
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.
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Armadillo Books
Chapel Hill, NC, U.S.A.
AbeBooks seller since April 21, 1998
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