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PDF Ebook Machine Learning: The New AI (The MIT Press Essential Knowledge series)By Ethem Alpaydin

PDF Ebook Machine Learning: The New AI (The MIT Press Essential Knowledge series)By Ethem Alpaydin

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Machine Learning: The New AI (The MIT Press Essential Knowledge series)By Ethem Alpaydin

Machine Learning: The New AI (The MIT Press Essential Knowledge series)By Ethem Alpaydin


Machine Learning: The New AI (The MIT Press Essential Knowledge series)By Ethem Alpaydin


PDF Ebook Machine Learning: The New AI (The MIT Press Essential Knowledge series)By Ethem Alpaydin

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Machine Learning: The New AI (The MIT Press Essential Knowledge series)By Ethem Alpaydin

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.

  • Sales Rank: #17795 in Books
  • Published on: 2016-10-07
  • Original language: English
  • Dimensions: 7.00" h x .44" w x 5.00" l, .0 pounds
  • Binding: Paperback
  • 224 pages

About the Author

Ethem Alpaydin is Professor in the Department of Computer Engineering at Bogazii 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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Machine Learning: The New AI (The MIT Press Essential Knowledge series)By Ethem Alpaydin PDF

Machine Learning: The New AI (The MIT Press Essential Knowledge series)By Ethem Alpaydin PDF

Machine Learning: The New AI (The MIT Press Essential Knowledge series)By Ethem Alpaydin PDF
Machine Learning: The New AI (The MIT Press Essential Knowledge series)By Ethem Alpaydin PDF

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