TY  - DATA
AU  - Kubat, Miroslav
TI  - An introduction to machine learning
SN  - 9783319639130 (E-book)       
AV  - QA 76.9.D343 K82I  2017
PY  - 2017///
CY  - Cham, Switzerland
PB  - Springer
KW  - MACHINE LEARNING
KW  - BIG DATA
KW  - DATA MINING
KW  - ARTIFICIAL INTELLIGENCE
KW  - COMPUTATIONAL INTELLIGENCE
KW  - COMPUTER SCIENCE
KW  - DATA MINING AND KNOWLEDGE DISCOVERY
KW  - ARTIFICIAL INTELLIGENCE (INCL. ROBOTICS)
N1  - Includes bibliographical references and index; A Simple machine-learning task --  Probabilities : bayesian classifiers -- Similarities : nearest-neighbor classifiers -- Inter-class boundaries : linear and polynomial classifiers -- Artificial neural networks -- Decision trees -- Computational learning theory -- A few instructive applications -- Induction of voting assemblies -- Some practical aspects to know about -- Performance evaluation -- Statistical significance --  induction in multi-label domains -- Unsupervised learning -- Classifiers in the form of rulesets -- The genetic algorithm -- Reinforcement learning; Available to OhioLINK libraries
UR  - https://drive.google.com/file/d/1J7PhbtlgMkMEuo2p75MOPUjdVv5W-vnn/view?usp=sharing
ER  -