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portada Machine Learning: An Applied Mathematics Introduction
Type
Physical Book
Author
Publisher
Year
2019
Language
English
Pages
242
Format
Paperback
Dimensions
23.4x15.6x1.3 cm
Weight
0.34 kg.
ISBN13
9781916081604
Categories

Machine Learning: An Applied Mathematics Introduction

Paul Wilmott (Author) · Panda Ohana Publishing · Paperback

Machine Learning: An Applied Mathematics Introduction - Wilmott, Paul

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Delivery: 21 Sep - 23 Sep Shipping: 6 to 7 business days.
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Synopsis "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 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."

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