Machine learning / Ethem Alpaydin.
- 作者： Alpaydin, Ethem.
- 其他題名：
- The MIT Press essential knowledge series.
- 出版： Cambridge, MA : The MIT Press c2021.
- 叢書名： The MIT Press essential knowledge series
- 主題： Machine learning. , Artificial intelligence.
- 版本：Rev. and updated ed.
- ISBN： 978-0-262-54252-4 (pbk.) :: NT$650
- 書目註：Includes bibliographical references and index.
-
讀者標籤：
- 系統號： 005278093 | 機讀編目格式
館藏資訊
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.