This is just my attempt to keep some of my notes in one convenient
(for me) place. Any corrections on the (very rough) machine learning
notes are welcome.
Contrastive Divergence learning for binary Restricted Boltzmann Machines (RBM) (pdf)
Expectation-Maximization (EM) algorithm (pdf)
Useful programs/packages (txt)
Installing NumPy/SciPy to work with ATLAS (txt)