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Advances in Financial Machine Learning by Marcos Lopez de Prado
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Standort: Nashville, TN, USA
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eBay-Artikelnr.:226025079911
Artikelmerkmale
- Artikelzustand
- Edition
- 1st edition
- Publish Year
- 2018
- ISBN
- 9781119482086
Über dieses Produkt
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1119482089
ISBN-13
9781119482086
eBay Product ID (ePID)
239509852
Product Key Features
Number of Pages
400 Pages
Language
English
Publication Name
Advances in Financial Machine Learning
Subject
Machine Theory, Finance / Financial Engineering, Computer Vision & Pattern Recognition, Investments & Securities / General
Publication Year
2018
Type
Textbook
Subject Area
Computers, Business & Economics
Format
Hardcover
Dimensions
Item Height
1.2 in
Item Weight
28.9 Oz
Item Length
9.1 in
Item Width
6.2 in
Additional Product Features
Intended Audience
Trade
Reviews
" Advances in Financial Machine Learning is a very interesting book... the author knows his subject." ( BCS: The Chartered Institute for IT, August 2018) "Prado's book clearly illustrates how fast this world is moving, and how deep you need to dive if you are to excel and deliver top of the range solutions and above the curve performing algorithms." ( Irish Tech News, July 2018)
Dewey Edition
23
Dewey Decimal
332.0285631
Synopsis
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., 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., 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.
LC Classification Number
HG104
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