Machine Learning, Revised and Updated Edition Contributor(s): Alpaydin, Ethem (Author) |
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ISBN: 0262542528 ISBN-13: 9780262542524 Publisher: MIT Press OUR PRICE: $14.36 Product Type: Paperback - Other Formats Published: August 2021 |
Additional Information |
BISAC Categories: - Computers | Intelligence (ai) & Semantics - Technology & Engineering | History |
Dewey: 006.31 |
LCCN: 2020033697 |
Physical Information: 0.7" H x 5" W x 6.9" (0.55 lbs) 280 pages |
Descriptions, Reviews, Etc. |
Publisher 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 everyday, 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. |