Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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Machine Learning - The New AI (Paperback)
Loot Price: R297
Discovery Miles 2 970
You Save: R99
(25%)
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Machine Learning - The New AI (Paperback)
Series: MIT Press Essential Knowledge series
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List price R396
Loot Price R297
Discovery Miles 2 970
You Save R99 (25%)
Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.
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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.
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