Machine Learning: An Applied Mathematics IntroductionMachine Learning: An Applied Mathematics Introduction covers the essential mathematics behind all of the following topics K Nearest Neighbours K Means Clustering Na ve Bayes Classifier Regression Methods Support Vector Machines Self Organizing Maps Decision Trees Neural Networks Reinforcement Learning The book includes many real world examples from a variety of fields including finance (volatility modelling) economics (interest rates, inflation and