Machine learning : the new AI

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Tác giả: Ethem Alpaydin

Ngôn ngữ: eng

ISBN-13: 978-0262337595

Ký hiệu phân loại: 006.31 Machine learning

Thông tin xuất bản: Cambridge, Massachusetts : The MIT Press, 2016

Mô tả vật lý: 1 PDF (xv, 206 pages).

Bộ sưu tập: Tài liệu truy cập mở

ID: 313775

 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.
Includes bibliographical references and index.
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