Description: Further DetailsTitle: Advances in Financial Machine LearningCondition: NewEAN: 9781119482086ISBN: 9781119482086Publisher: John Wiley & Sons IncFormat: HardbackRelease Date: 05/04/2018Item Height: 238mmItem Length: 155mmItem Width: 25mmItem Weight: 726gLanguage: EnglishDescription: 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.Country/Region of Manufacture: USGenre: Computing & InternetAuthor: Marcos Lopez de PradoTopic: Business & FinanceRelease Year: 2018 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Advances in Financial Machine Learning
Title: Advances in Financial Machine Learning
EAN: 9781119482086
ISBN: 9781119482086
Release Date: 05/04/2018
Release Year: 2018
Country/Region of Manufacture: US
Genre: Computing & Internet
Topic: Business & Finance
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
