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Machine Learning: An Applied Mathematics Introduction by [Paul Wilmott]

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Machine Learning: An Applied Mathematics Introduction [Print Replica] Kindle Edition

4.5 out of 5 stars 168 ratings

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Editorial Reviews

About the Author

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 has written over 100 research articles on finance and mathematics. Paul Wilmott was a founding partner of the volatility arbitrage hedge fund Caissa Capital which managed $170 million. His responsibilities included forecasting, derivatives pricing, and risk management. Paul is the proprietor of www.wilmott.com, the popular quantitative finance community website, and the quant magazine Wilmott. He is the creator of the Certificate in Quantitative Finance, cqf.com, and the President of the CQF Institute, cqfinstitute.org. Paul Wilmott has been called "cult derivatives lecturer" by the Financial Times and "financial mathematics guru" by the BBC. --This text refers to the paperback edition.

Product details

  • ASIN ‏ : ‎ B0866D5RNY
  • Publisher ‏ : ‎ Panda Ohana Publishing (March 20, 2020)
  • Publication date ‏ : ‎ March 20, 2020
  • Language ‏ : ‎ English
  • File size ‏ : ‎ 19222 KB
  • Text-to-Speech ‏ : ‎ Not enabled
  • Enhanced typesetting ‏ : ‎ Not Enabled
  • X-Ray ‏ : ‎ Not Enabled
  • Word Wise ‏ : ‎ Not Enabled
  • Print length ‏ : ‎ 242 pages
  • Lending ‏ : ‎ Not Enabled
  • Customer Reviews:
    4.5 out of 5 stars 168 ratings

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Customer reviews

4.5 out of 5 stars
4.5 out of 5
168 global ratings

Top reviews from the United States

Reviewed in the United States on August 28, 2020
14 people found this helpful
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Reviewed in the United States on July 10, 2019
25 people found this helpful
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Reviewed in the United States on July 9, 2020
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Reviewed in the United States on August 12, 2019
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Reviewed in the United States on September 23, 2019
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Reviewed in the United States on July 18, 2020
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Reviewed in the United States on January 20, 2020
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Reviewed in the United States on August 6, 2019
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Top reviews from other countries

Speedy Gonzales
1.0 out of 5 stars Too simplistic
Reviewed in the United Kingdom on August 22, 2019
20 people found this helpful
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Amigo Paulo
3.0 out of 5 stars chatty overview
Reviewed in the United Kingdom on March 10, 2020
5 people found this helpful
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Alexander Nadjalin
5.0 out of 5 stars My machine learning inspiration
Reviewed in the United Kingdom on October 19, 2019
4 people found this helpful
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alb3rtazzo
5.0 out of 5 stars extremely good
Reviewed in the United Kingdom on October 15, 2019
3 people found this helpful
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will
5.0 out of 5 stars Useful for beginners
Reviewed in the United Kingdom on November 19, 2019
3 people found this helpful
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