Machine Learning : An Applied Mathematics Introduction (9781916081604)

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 Learning

The 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 decades of experience in mathematics education, and his inimitable style, to 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."

Product details

• Format Paperback | 242 pages
• Dimensions 155.96 x 233.93 x 12.95mm | 344.73g
• Publication date 20 May 2019
• Publisher Panda Ohana Publishing
• Publication City/Country United Kingdom
• Language English
• ISBN10 1916081606
• ISBN13 9781916081604
• Bestsellers rank 34,453

Download Machine Learning : An Applied Mathematics Introduction (9781916081604).pdf, available at myfreebookdownload.co for free.

DOWNLOAD