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Machine Learning: The New AI (MIT Press Essential Knowledge series) by [Alpaydin, Ethem]
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Machine Learning: The New AI (MIT Press Essential Knowledge series) Kindle Edition

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Length: 232 pages Word Wise: Enabled Enhanced Typesetting: Enabled
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Product description

Product Description

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.

About the Author

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

Product details

  • Format: Kindle Edition
  • File Size: 1104 KB
  • Print Length: 232 pages
  • Page Numbers Source ISBN: 0262529513
  • Publisher: The MIT Press (30 September 2016)
  • Sold by: Amazon Australia Services, Inc.
  • Language: English
  • ASIN: B01M60Y1T7
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Enabled
  • Screen Reader: Supported
  • Enhanced Typesetting: Enabled
  • Average Customer Review: Be the first to review this item
  • Amazon Bestsellers Rank: #19,765 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Most helpful customer reviews on 3.8 out of 5 stars 41 reviews
Let's Compare Options Preptorial
5.0 out of 5 starsVery basic but good price point for a non technical overview and very up to date with big data
22 October 2016 - Published on
94 people found this helpful
Amazon Customer
3.0 out of 5 starsI am quite confused about what to feel about this ...
20 January 2017 - Published on
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16 people found this helpful
Constant Reader
2.0 out of 5 starsWas this written by a machine? If so, authors are safe for another ten years at least.
12 April 2017 - Published on
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11 people found this helpful
Mary Echternacht
5.0 out of 5 starsMust Read For All
3 March 2017 - Published on
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David James
4.0 out of 5 starsMachine learning is based on probability theory
26 January 2018 - Published on
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2 people found this helpful