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Advances in Financial Machine Learning by Lopez de Prado, Marcos

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 algorithmsConduct research with ML algorithms on big dataUse 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: 49.13 USD

Location: East Hanover, New Jersey

End Time: 2024-12-06T02:26:29.000Z

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Advances in Financial Machine Learning by Lopez de Prado, MarcosAdvances in Financial Machine Learning by Lopez de Prado, Marcos

Item Specifics

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 60 Days

Refund will be given as: Money Back

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EAN: 9781119482086

UPC: 9781119482086

ISBN: 9781119482086

MPN: N/A

Book Title: Advances in Financial Machine Learning by Lopez de

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

Subject Area: Computers, Business & Economics

Author: Marcos Lopez De Prado

Item Length: 9.1 in

Item Width: 6.3 in

Format: Hardcover

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