Book ID: CBB513990166

Machine Learning (2021)

unapi

Ethem Alpaydın (Author)


MIT Press


Publication Date: 2021
Physical Details: 280
Language: English

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.

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Citation URI
https://data.isiscb.org/isis/citation/CBB513990166/

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Authors & Contributors
Coeckelbergh, Mark
Neil Urquhart
Mendon-Plasek, Aaron Louis
The Anh Han
Massimo Ciccozzi
Katina Michael
Concepts
Technology and society
Artificial intelligence
Computers and computing
Machine learning
Technology and ethics
Human-machine interaction
Time Periods
21st century
20th century, late
Places
Africa, Sub-Sahara
United States
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