Machine Learning: An Applied Mathematics Introduction
Wilmott (Paul)
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BOOK ABSTRACT:

Amazon Book Description

  1. 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
  2. Paul Wilmott brings three decades of experience in education, and his inimitable style, to this, 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.”
  3. Paul Wilmott has been called “cult derivatives lecturer” by the Financial Times and “financial mathematics guru” by the BBC.

BOOK COMMENT:

Panda Ohana Publishing (26 May 2019). Paperback



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  2. Mauve: Text by correspondent(s) or other author(s); © the author(s)



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