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Publisher's Summary

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 every day, 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 audiobook, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general listener, 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.
©2016 Massachusetts Institute of Technology (P)2016 Gildan Media LLC
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Customer Reviews

Most Helpful
1 out of 5 stars
By Katharine J Kearnan on 05-05-17

Wrong narrator and not enough up to date info

Any additional comments?

The narrator sounded like he was reading a real estate sales manual. The material was neither super technical like Andrew Ngs work nor enough of a high level positioning to make it worthwhile on either end.

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4 of 4 people found this review helpful

1 out of 5 stars
By EvonJP on 11-08-16

Nothing to see here.

This book is a basic history of computing. It is so basic I'm shocked it's from MIT. Todays children instinctually understand the topics covered in this book. The title is misleading. It should simply read "The history of basic computing"

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18 of 21 people found this review helpful

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Customer Reviews

Most Helpful
5 out of 5 stars
By Mr Phillip Ash on 07-12-17

awesome background and nice summary of current tec

A great summary of the different types of machine learning algorithm. Great for someone looking to get a good overview understanding :)

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3 of 4 people found this review helpful

3 out of 5 stars
By Peter W on 08-12-18

novice only

very brief intro only if you are totally new to ML otherwise not much new here

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Customer Reviews

Most Helpful
1 out of 5 stars
By Mr. D. P. Blake on 05-03-18

Vague...

I’m not an expert in this field, so I could be wrong but I returned this audio book half at through.

Feels like the author is an academic reading bits and pieces out of other academics text books.

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