Index
The machine learning reading group meets on Fridays from 1-2 pm (3534 Franz Hall). To start out, we will be working our way through "The Elements of Statistical Learning" by Hastie, Tibshirani, and Friedman.
There is a mailing list for the group that can be joined at http://lists.ucla.edu/cgi-bin/mailman/listinfo/machine-learning
Example code:
The example code is written in R (http://www.r-project.org/), an open-source statistical programming language, and MATLAB.
Chapter 2:
Chapter 3:
- ch3_ex1.R (recreates Figure 3.1)
- ch3_orth.R (example of successive orthogonalization, from section 3.3)
- ch3_shrinkage.R (recreates Figure 3.6, though without all subsets variable selection)
- ch3_pca.R (recreates Figure 3.8)
Chapter 4:
- ch4_lin_reg.R (example of problems with classification by linear regression, section 4.2)
- hyperplane.m (by Hongjing Lu: demonstrates optimal separating hyperplanes - requires optimization toolbox)
- splines.R (demonstrates various aspects of splines)
- smoothing_splines.R (recreates figure 5.6)
- smoothing_splines2.R (shows differences between natural spline and b-spline smoothing)
- show_spline_df.R (animation of effect of increasing df's in spline smoothing)
- spline_df.R (recreates figure 5.9)
- Jeanette's slides on kernels and Hilbert spaces

