Repository to complete projects assigned in the CUNY GC Machine Learning course.
Notebooks and models are run remotely on a server set up with easy-python-ml.
sync.sh script taken from this gist.
- https://www.stat.tamu.edu/~jianhua/paper/iccsde-sparseLDA.pdf
- http://ww.web.stanford.edu/~hastie/Papers/RDA-3.pdf
- https://arxiv.org/pdf/1410.0342.pdf
- http://alexhwilliams.info/itsneuronalblog/2016/03/27/pca/#generalizations-of-pca-sparse-features-loss-functions
- http://www.robotics.stanford.edu/~ang/papers/icml04-l1l2.ps
- https://web.eecs.umich.edu/~honglak/aaai06_L1logreg.pdf
- http://qwone.com/~jason/writing/lr.pdf
- http://www.win-vector.com/blog/2011/09/the-simpler-derivation-of-logistic-regression/
- https://pdfs.semanticscholar.org/b493/0672d1170b0edeb05ea2b4a238bfb26fefcb.pdf
- https://gking.harvard.edu/files/0s.pdf