Machine learning : the new AI (eBook, 2016) [WorldCat.org]
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Machine learning : the new AI

Author: Ethem Alpaydin
Publisher: Cambridge, MA : MIT Press, [2016] ©2016
Series: MIT Press essential knowledge series.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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 has also advanced. This book presents an overview of machine learning, which underlies applications that include recommendation systems, face recognition, and driverless cars. The author, a machine learning expert, offers information for the general  Read more...
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Details

Genre/Form: Electronic books
Additional Physical Format: Print version:
Alpaydin, Ethem.
Machine learning.
©2016
(DLC) 2016012342
(OCoLC)946160498
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Ethem Alpaydin
ISBN: 9780262337595 0262337592
OCLC Number: 960457556
Description: 1 online resource
Contents: Why we are interested in machine learning --
Machine learning, statistics and data analytics --
Pattern recognition --
Neural networks and deep learning --
Learning clusters and recommendations --
Learning to take actions --
Where do we go from here?
Series Title: MIT Press essential knowledge series.
Responsibility: Ethem Alpaydin.
More information:

Abstract:

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 has also advanced. This book presents an overview of machine learning, which underlies applications that include recommendation systems, face recognition, and driverless cars. The author, a machine learning expert, offers information for the general reader, describing the evolution of machine learning, explaining important learning algorithms, and presenting example applications. The author also considers potential directions for machine learning and the field of "data science," and discusses the ethical and legal implications for data privacy and security.

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