Machine Learning Notes...

http://nbviewer.jupyter.org/github/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/blob/master/Chapter1_Introduction/Chapter1.ipynb

http://www.scholarpedia.org/article/Bayesian_statistics

http://arxiv.org/pdf/1206.5533v2.pdf

http://ufldl.stanford.edu/tutorial/supervised/MultiLayerNeuralNetworks/

http://www.glyn.dk/download/Synopsis.pdf

http://cs229.stanford.edu/materials.html

http://cs229.stanford.edu/

https://www.searchlock.com/search?q=gradient-based+training

https://en.wikipedia.org/wiki/Bayesian_inference

http://kevinboone.net/bayes.html

http://pages.cs.wisc.edu/~bolo/shipyard/neural/local.html

http://www.cs.stir.ac.uk/~lss/NNIntro/InvSlides.html

http://www.cs.stir.ac.uk/~lss/NNIntro/InvSlides.html