TY  - GEN
AU  - Alpaydin, Ethem
TI  - Machine learning
SN  - 9780262542524
U1  - 006.31 
PY  - 2021///
CY  - Cambridge
PB  - MIT Press
KW  - Machine learning
KW  - Artificial intelligence
N1  - Revised and updated edition
N2  - 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, an 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, fairness, and the ethical and legal implications of making decisions based on data
ER  -