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| Product ID: | 9780262542524 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | US |
| Series: | The MIT Press Essential Knowledge series |
| Title: | Machine Learning, revised and updated edition |
| Authors: | Author: Ethem Alpaydin |
| Page Count: | 280 |
| Subjects: | Information technology: general topics, Information technology: general issues |
| Description: | Select Guide Rating 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. |
| Imprint Name: | MIT Press |
| Publisher Name: | MIT Press Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2021-08-17 |
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