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Machine Learning: An Applied Mathematics Introduction

Machine Learning: An Applied Mathematics Introduction - Paperback

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Availability:In StockContributor:Paul WilmottPublish date:2019-05-20Pages:242
Language:EnglishPublisher:Panda Ohana PublishingISBN-13:9781916081604ISBN-10:1916081606UPC:9781916081604Book Category:MathematicsSize:9.21 x 6.14 x 0.51 inchesWeight:0.7606Product ID:SC3BP6K8ZT

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 Learning

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

  • finance...
Language:EnglishPublisher:Panda Ohana PublishingISBN-13:9781916081604ISBN-10:1916081606UPC:9781916081604Book Category:MathematicsSize:9.21 x 6.14 x 0.51 inchesWeight:0.7606Product ID:SC3BP6K8ZT
Wilmott, Paul: - Paul Wilmott studied mathematics at St Catherine's College, Oxford, where he also received his D.Phil. He is the author of Paul Wilmott Introduces Quantitative Finance (Wiley 2007), Paul Wilmott On Quantitative Finance (Wiley 2006), Frequently Asked Questions in Quantitative Finance (Wiley 2009), The Money Formula (with David Orrell) (Wiley 2017) and other financial textbooks. He...
Publisher: Panda Ohana Publishing

Contributor(s)

Paul Wilmott

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