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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

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Advances in Financial Machine Learning (Hardcover) Loot Price: R958
Discovery Miles 9 580
You Save: R210 (18%)
Advances in Financial Machine Learning (Hardcover): Marcos Lopez de Prado

Advances in Financial Machine Learning (Hardcover)

Marcos Lopez de Prado

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List price R1,168 Loot Price R958 Discovery Miles 9 580 | Repayment Terms: R90 pm x 12* You Save R210 (18%)

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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.

General

Imprint: John Wiley & Sons
Country of origin: United States
Release date: May 2018
First published: 2018
Authors: Marcos Lopez de Prado
Dimensions: 240 x 161 x 27mm (L x W x T)
Format: Hardcover
Pages: 366
ISBN-13: 978-1-119-48208-6
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
Books > Business & Economics > Finance & accounting > Finance > Investment & securities > General
Books > Money & Finance > Investment & securities > General
LSN: 1-119-48208-9
Barcode: 9781119482086

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