Machine Learning. An Applied Mathematics Introduction

Книга "Machine Learning. An Applied Mathematics Introduction". Machine Learning: An Applied Mathematics Introduction covers the essential mathematics behind all of the following topics K Nearest Neighbours K Means Clustering Naïve Bayes Classifier Regression Methods Support Vector Machines Self-Organizing Maps Decision Trees Neural Networks Reinforcement LearningThe book includes many real-world examples from a variety of fields including finance (volatility modelling) economics (interest rates, inflation and GDP) politics (classifying politicians according to their voting records, and using speeches to determine whether a politician is left or right wing) biology (recognising flower varieties, and using heights and weights of adults to determine gender) sociology (classifying locations according to crime statistics) gambling (fruit machines and Blackjack) business (classifying the members of his own website to see who will subscribe to his magazine!)Paul Wilmott brings three decad...