TY  - GEN
AU  - Kubat, Miroslav,
TI  - An Introduction to machine learning
SN  - 9783030819347 :
U1  - E 006.3 23rd
PY  - 2021///
CY  - Cham, Switzerland
PB  - Springer Nature
KW  - Machine learning
KW  - Computer science
KW  - Simulation
KW  - Information storage and retrieval
KW  - Optical pattern recognition
KW  - Artificial intelligence
N1  - This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of boosting, how to exploit them in more complicated domains, and how to deal with diverse advanced practical issues. One chapter is dedicated to the popular genetic algorithms; Includes bibliographical references and indexes
ER  -