Machine Learning: An Applied Mathematics Introduction

by Paul Wilmott

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 Learning

The book includes many real-world examples from a variety of fields including

finance (volatility modelling) economics (interest rates,...

• Format: Paperback
• Language: English
• ISBN: 1916081606
• ISBN13: 9781916081604
• Release Date: May 2019
• Publisher: Panda Ohana Publishing
• Length: 242 Pages
• Weight: 0.70 lbs.
• Dimensions: 0.5" x 6.1" x 9.2"