Machine Learning: An Applied Mathematics Introduction

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 Na ve Bayes Classifier Regression Methods Support Vector Machines Self Organizing Maps Decision Trees Neural Networks Reinforcement LearningPaul Wilmott brings three decades of experience in education, and his inimitable style, to this, the hottest of subjects This book is an accessible introduction for anyone who wants to understand the foundations but also wants to get to the meat without having to eat too many vegetables Paul Wilmott has been called cult derivatives lecturer by the Financial Times and financial mathematics guru by the BBC


About the Author: Paul Wilmott

Is a well known author, some of his books are a fascination for readers like in the Machine Learning: An Applied Mathematics Introduction book, this is one of the most wanted Paul Wilmott author readers around the world.


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