Description: Advances in Financial Machine Learning, Hardcover by De Prado, Marcos Lopez, ISBN 1119482089, ISBN-13 9781119482086, Like New Used, Free shipping in the US
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 th, 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.
Price: 37.05 USD
Location: Jessup, Maryland
End Time: 2024-10-02T09:13:55.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Return policy details:
Book Title: Advances in Financial Machine Learning
Number of Pages: 400 Pages
Language: English
Publication Name: Advances in Financial Machine Learning
Publisher: Wiley & Sons, Incorporated, John
Subject: Machine Theory, Finance / Financial Engineering, Computer Vision & Pattern Recognition, Investments & Securities / General
Publication Year: 2018
Item Height: 1.1 in
Item Weight: 27.3 Oz
Type: Textbook
Item Length: 9.1 in
Author: Marcos Lopez De Prado
Subject Area: Computers, Business & Economics
Item Width: 6.3 in
Format: Hardcover
