Advances in Financial Machine Learning bookcover

Advances in Financial Machine Learning

4.9/5.0
21,000+ Reviews
Bookshop.org has the highest-rated customer service of any bookstore in the world

Description

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 invest.

In the book, readers will learn how to:

  • Structure big data in a way that is amenable to ML algorithms
  • Conduct research with ML algorithms on big data
  • Use supercomputing methods and back test their discoveries while avoiding false positives

Advances in Financial Machine Learning addresses real life problems faced by practitioners every day, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their individual setting.

Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.

Product Details

PublisherWiley
Publish DateFebruary 21, 2018
Pages400
LanguageEnglish
TypeBook iconHardback
EAN/UPC9781119482086
Dimensions9.0 X 6.3 X 1.1 inches | 1.4 pounds

About the Author

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.

Reviews

"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)

Earn by promoting books

Earn money by sharing your favorite books through our Affiliate program.sign up to affiliate program link
Become an affiliate