Tiny library of machine learning techniques discussed in Andrew Ng's course on coursera (and hence it's my attempt to actually understand that course).
TODO:
- linear regression of one variable
- graphical demo of linear regression of one variable
- make new points on 2d graph, button "learn" starts learning
- interactive addition/erasure of new points, line dynamically fits.
- multidimensional linear regression
- logistic regression
- neural networks
- recommender systems
- and whatnot!