Uczenie maszynowe dla programistów

Dodatek A. Bibliografia

Książki

[Adl10] Joseph Adler, R in a Nutshell, O’Reilly Media, 2010.

[Abb92] Edwin A. Abbot, Flatland: A Romance of Many Dimensions, Dover Publications, 1992.

[Bis06] Christopher M. Bishop, Pattern Recognition and Machine Learning, Springer, 1 wyd. 2006, 2. wyd. 2007.

[GH06] Andrew Gelman, Jennifer Hill, Data Analysis Using Regression and Multilevel/Hierarchical Models, Cambridge University Press, 2006.

[HTF09] Trevor Hastie, Robert Tibshirani, Jerome Friedman, The Elements of Statistical Learning, Springer, 2009.

[JMR09] Owen Jones, Robert Maillardet, Andrew Robinson, Introduction to Scientific Programming and Simulation Using R, Chapman and Hall, 2009.

[Seg07] Toby Segaran, Programming Collective Intelligence: Building Smart ...