Advances in Financial Machine Learning

Nonfiction, Computers, Advanced Computing, Theory, Business & Finance, Finance & Investing, Investments & Securities
Cover of the book Advances in Financial Machine Learning by Marcos Lopez de Prado, Wiley
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Marcos Lopez de Prado ISBN: 9781119482109
Publisher: Wiley Publication: February 2, 2018
Imprint: Wiley Language: English
Author: Marcos Lopez de Prado
ISBN: 9781119482109
Publisher: Wiley
Publication: February 2, 2018
Imprint: Wiley
Language: English

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives. The book addresses real-life problems faced by practitioners on a daily basis, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their particular 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives. The book addresses real-life problems faced by practitioners on a daily basis, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their particular 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.

More books from Wiley

Cover of the book How to Be Great at The Stuff You Hate by Marcos Lopez de Prado
Cover of the book Handbook of Fluoropolymer Science and Technology by Marcos Lopez de Prado
Cover of the book PHP und MySQL by Marcos Lopez de Prado
Cover of the book Lifestorming by Marcos Lopez de Prado
Cover of the book Running a Bed and Breakfast For Dummies by Marcos Lopez de Prado
Cover of the book Evidence Synthesis for Decision Making in Healthcare by Marcos Lopez de Prado
Cover of the book Business Forecasting by Marcos Lopez de Prado
Cover of the book Submerged Landscapes of the European Continental Shelf by Marcos Lopez de Prado
Cover of the book Building Codes Illustrated by Marcos Lopez de Prado
Cover of the book Sustainable Commercial Interiors by Marcos Lopez de Prado
Cover of the book Beer School by Marcos Lopez de Prado
Cover of the book A Greener House by Marcos Lopez de Prado
Cover of the book White Dwarf Atmospheres and Circumstellar Environments by Marcos Lopez de Prado
Cover of the book Metamaterials with Negative Parameters by Marcos Lopez de Prado
Cover of the book From Inclusion to Engagement by Marcos Lopez de Prado
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy