# Lecture notes

General resources and other literatures

**Bishop, Ch: Pattern recognition and machine learning, **Springer, 2006.

**Hastie-Tibshirani-Friedman: The Elements of Statistical Learning. Data mining, inference and prediction, second edition**, Springer, 2009.

**Gareth James•Daniela Witten•Trevor Hastie, Robert Tibshirani An Introduction to Statistical Learning , **corrected 4th printing, with Applications in R, Springer, 2014.

Useful additional material can be found: http://www.r-bloggers.com/in-depth-introduction-to-machine-learning-in-15-hours-of-expert-videos/

Lectures are uploaded below.

Attached files:

Submitted by Horváth Gábor on 2016. October 3. 12:53 | Last updated: 2018. November 28. 11:22