User:BCarroll92/Books/Machine Learning MU

A reference for all of Barak's Musings

 * Perceptrons
 * Perceptron
 * Linear classifier
 * Multilayer perceptron
 * Backpropagation


 * Support Vector Machines
 * Support vector machine
 * Positive-definite kernel
 * Duality (optimization)


 * K-Means Clustering
 * K-means clustering


 * Probabilistic Learning
 * Normal distribution
 * Hidden Markov model
 * Bayes' theorem
 * Principal component analysis
 * Bayesian network


 * Machine Learning Optimization
 * Reinforcement learning
 * Boosting (machine learning)
 * AdaBoost
 * Q-learning