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New

Machine Learning - The MIT Press Essential Knowledge Series

by Ethem Alpaydin
RM36.57 MYR
Compare to estimated retail price: RM79.99 MYR  

The item you've got your eye on is secondhand. You probably already know that, but just in case!

The estimated retail price shown next to any listed item represents the first-hand prices we've seen elsewhere, or the estimated original retail price of a comparable item of the same quality, construction and material offered elsewhere in new condition.

Machine Learning - The MIT Press Essential Knowledge Series
Machine Learning - The MIT Press Essential Knowledge Series

Concise introduction to machine learning's evolving landscape.

If you're intrigued by AI and how it's shaping our future, this book offers a streamlined entry point into machine learning without overwhelming you with jargon. Alpaydin's expanded edition doesn't just explain key concepts and algorithms; it also addresses contemporary concerns like privacy and ethical implications, making it relevant for anyone interested in the societal impacts of technology.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.
New

Machine Learning - The MIT Press Essential Knowledge Series

by Ethem Alpaydin
RM36.57 MYR
Compare to estimated retail price: RM79.99 MYR  

The item you've got your eye on is secondhand. You probably already know that, but just in case!

The estimated retail price shown next to any listed item represents the first-hand prices we've seen elsewhere, or the estimated original retail price of a comparable item of the same quality, construction and material offered elsewhere in new condition.

ISBN: 9780262542524
Authors: Ethem Alpaydin
Publisher: The MIT Press
Date of Publication: 2021-08-17
Format: Paperback
Related Collections: Science, Business
Related Topics: Popular Science, Computers, Technology
Goodreads rating: 3.62
(rated by 1017 readers)

Description

A concise overview of machine learning—computer programs that learn from data—the basis of such applications as voice 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 every day, including driverless cars. It is the basis for a new approach to artificial intelligence that aims to program computers to use example data or past experience to solve a given problem. In this volume in the MIT Press Essential Knowledge series, Ethem Alpaydin offers a concise and accessible overview of "the new AI." This expanded edition offers new material on such challenges facing machine learning as privacy, security, accountability, and bias. Alpaydin, author of a popular textbook on machine learning, explains that as "Big Data" has gotten bigger, the theory of machine learning—the foundation of efforts to process that data into knowledge—has also advanced. He describes the evolution of the field, explains important learning algorithms, and presents example applications. He discusses the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances; and reinforcement learning, when an autonomous agent learns to take actions to maximize reward. In a new chapter, he considers transparency, explainability, and fairness, and the ethical and legal implications of making decisions based on data.
Condition guide

Book Condition Guide

Books in Like New Condition

This book may contain very minor cosmetic defects, but it is in pristine condition. There should be no yellowing, no foxing, no water damage, and no annotations of any kind on the cover and the pages. For paperbacks, there should not be any crease marks on the spine. This book is good as new — lucky you!

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Very Good Condition

This book has been used, but it is still in a clean condition. There should be no foxing or annotations of any kind on the inner pages, but a sparse amount may be present on the cover, title pages, or outside edges of the book. There should be no water damage of any kind. For paperbacks, there may be light crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Good Condition

We do our best to ensure the quality of our books, but there is no escaping the wear and tear that comes with time. Slight foxing and some annotations may be present on the pages and the cover. There should be no water damage of any kind. For paperbacks, there may be several crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Well Read Condition

This is a well-read book, which means that the previous owner probably really enjoyed it! The cover and pages may include moderate foxing and annotations, but the text is not obscured and still readable. Moderate cosmetic defects and minor water damage may be present on the edges of the book. For paperbacks, there may be multiple crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

 

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Similar Reads

Concise introduction to machine learning's evolving landscape.

If you're intrigued by AI and how it's shaping our future, this book offers a streamlined entry point into machine learning without overwhelming you with jargon. Alpaydin's expanded edition doesn't just explain key concepts and algorithms; it also addresses contemporary concerns like privacy and ethical implications, making it relevant for anyone interested in the societal impacts of technology.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.