Dòng Nội dung
1
Machine Learning / Tom M. Mitchell
New York : McGraw Hill, 1997
XVII, 414 p. : diagrams ; 23 cm.



2
Machine learning : Hands-on for developers and technical professionals / Jason Bell
Indianapolis : John Wiley & Sons, 2015
xxiv, 380 p. : ill. ; 24cm.




3
Machine learning with R : expert techniques for predictive modeling / Brett Lantz.
Birmingham, UK : Packt Publishing Ltd., c2019
xiii, 437 p ; 30 cm.



4
5
Pattern recognition and machine learning / Christopher M. Bishop
New York : Springer, 2006
xx, 738, 100 p. : ill. (chiefly color) ; 29 cm.

Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.