Machine Learning: An Applied Mathematics Introduction (Paperback, 2019)

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Format:-Paperback / softback. Title:-Machine Learning: An Applied Mathematics Introduction. Genre:-Computers, General, Science.

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Machine Learning: An Applied Mathematics Introduction covers the essential mathematics behind all of the following topics K Nearest Neighbours K Means Clustering Naive 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 Identifiers

PublisherPanda Ohana Publishing
ISBN-139781916081604
eBay Product ID (ePID)7046663447

Product Key Features

Publication Year2019
SubjectComputer Science, Mathematics
Number of Pages242 Pages
LanguageEnglish
Publication NameMachine Learning: an Applied Mathematics Introduction
TypeTextbook
FormatPaperback

Additional Product Features

Country/Region of ManufactureUnited Kingdom

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