Machine Learning

The New AI

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Science & Nature, Technology, Engineering, General Computing
Cover of the book Machine Learning by Ethem Alpaydin, The MIT Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Ethem Alpaydin ISBN: 9780262337601
Publisher: The MIT Press Publication: September 30, 2016
Imprint: The MIT Press Language: English
Author: Ethem Alpaydin
ISBN: 9780262337601
Publisher: The MIT Press
Publication: September 30, 2016
Imprint: The MIT Press
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from The MIT Press

Cover of the book Rodney Graham by Ethem Alpaydin
Cover of the book Auctions by Ethem Alpaydin
Cover of the book The Future of Europe by Ethem Alpaydin
Cover of the book Undone Science by Ethem Alpaydin
Cover of the book The End of the Wild by Ethem Alpaydin
Cover of the book The High Price of Materialism by Ethem Alpaydin
Cover of the book The Handbook of Science and Technology Studies by Ethem Alpaydin
Cover of the book System by Ethem Alpaydin
Cover of the book On Hitler's Mein Kampf by Ethem Alpaydin
Cover of the book What a City Is For by Ethem Alpaydin
Cover of the book Foundations in Music Psychology by Ethem Alpaydin
Cover of the book Low Power to the People by Ethem Alpaydin
Cover of the book Harvesting the Biosphere by Ethem Alpaydin
Cover of the book Japan's Dietary Transition and Its Impacts by Ethem Alpaydin
Cover of the book Impossible Languages by Ethem Alpaydin
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy