Machine Learning, Revised And Updated Edition (The Mit Press Essential Knowledge Series)
The MIT Press
ISBN13:
9780262542524
$15.59
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.
- | Author: Ethem Alpaydin
- | Publisher: The MIT Press
- | Publication Date: 17-Aug-21
- | Number of Pages: 280 pages
- | Language: English
- | Binding: Paperback
- | ISBN-10: 0262542528
- | ISBN-13: 9780262542524
- Author:
- Ethem Alpaydin
- Publisher:
- The MIT Press
- Publication Date:
- 17-Aug-21
- Number of pages:
- 280 pages
- Language:
- English
- Binding:
- Paperback
- ISBN-10:
- 0262542528
- ISBN-13:
- 9780262542524