Learning

==== Machine Learning ====

=== Tutorials === * Visual Introduction to Machine Learning (Decision Trees) http://www.r2d3.us/visual-intro-to-machine-learning-part-1/ \ * Neural Network and Back Propagation (excellent article, with simple derivations) http://jeremykun.com/2012/12/09/neural-networks-and-backpropagation/ \ * MCMC Sampling, tutorial and code http://twiecki.github.io/blog/2015/11/10/mcmc-sampling/ \ * Software tutorial, compilation (incl. Pandas) https://github.com/hangtwenty/dive-into-machine-learning \ * Recurrent Neural Network (3 part series) http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/ \

=== Articles === * Weak Learning and Boosting http://jeremykun.com/2015/05/18/boosting-census/

• Choosing an algorithm http://scikit-learn.org/stable/tutorial/machine_learning_map/