Machine Learning: An Applied Mathematics Introduction
Tags:
Paul Wilmott
Machine Learning: An Applied Mathematics Introduction covers the essential mathematics behind all of the following topics - K Nearest Neighbours K Means Clustering Nave Bayes Classifier Regression Methods Support Vector Machines Self-Organizing Maps Decision Trees Neural Networks Reinforcement Learning