Advances in Financial Machine Learning, 9781119482086
Hardcover
Harness machine learning to revolutionize your financial investments and strategies.

Advances in Financial Machine Learning

$84.00

  • Hardcover

    400 pages

  • Release Date

    6 February 2018

Check Delivery Options

Summary

Mastering Finance with Machine Learning: A Practical Guide

Learn to understand and implement the latest machine learning innovations to improve your investment performance

Machine learning (ML) is changing virtually every aspect of our lives. Today, ML algorithms accomplish tasks that – until recently – only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and inves…

Book Details

ISBN-13:9781119482086
ISBN-10:1119482089
Author:Marcos Lopez de Prado
Publisher:John Wiley & Sons Inc
Imprint:John Wiley & Sons Inc
Format:Hardcover
Number of Pages:400
Release Date:6 February 2018
Weight:726g
Dimensions:234mm x 160mm x 28mm
What They're Saying

Critics Review

“Advances in Financial Machine Learning is a very interesting book… the author knows his subject.” (BCS: The Chartered Institute for IT, August 2018)

“Prado’s book clearly illustrates how fast this world is moving, and how deep you need to dive if you are to excel and deliver top of the range solutions and above the curve performing algorithms.” (Irish Tech News, July 2018)

About The Author

Marcos Lopez de Prado

DR. MARCOS LÓPEZ DE PRADO is a principal at AQR Capital Management, and its head of machine learning. Marcos is also a research fellow at Lawrence Berkeley National Laboratory (U.S. Department of Energy, Office of Science). SSRN ranks him as one of the most-read authors in economics, and he has published dozens of scientific articles on machine learning and supercomputing in the leading academic journals. Marcos earned a PhD in financial economics (2003), a second PhD in mathematical finance (2011) from Universidad Complutense de Madrid, and is a recipient of Spain’s National Award for Academic Excellence (1999). He completed his post-doctoral research at Harvard University and Cornell University, where he teaches a graduate course in financial machine learning at the School of Engineering. Marcos has an Erdös #2 and an Einstein #4 according to the American Mathematical Society.

Returns

This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.