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Advances in Ficial Machine Learning

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Engelsk
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 algori...

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Forlagsbeskrivelse af Advances In Financial Machine Learning af Marcos Lopez de Prado

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.

Detaljer

Forlag
John Wiley & Sons Inc
ISBN
9781119482086
Sprog
Engelsk
Sider
400
Udgivelsesdato
04-05-2018
Format
Hardback
Varenr.
3229806
EAN nr.
9781119482086
Varegruppe
Engelsk non fiction div.
Højde/Dybde (mm)
239
Bredde (mm)
160
Længde (mm)
32
Vægt (g)
790

Bogens kategorier Klik på en kategori for at se lignende bøger

  • Økonomi, finans, erhvervsliv og ledelseFinans og regnskabFinansInvestering og værdipapirer
  • Økonomi, finans, erhvervsliv og ledelseFinans og regnskabFinansInvestering og værdipapirer
  • Databehandling og informationsteknologiInformatikKunstig intelligensMachine learning
  • Databehandling og informationsteknologiInformatikKunstig intelligensMachine learning
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