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Advances in financial machine learning /
"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 f...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken, New Jersey :
John Wiley & Sons, Inc.,
[2018]
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 003 | OCoLC | ||
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| 008 | 180419s2018 njua ob 001 0 eng d | ||
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| 019 | |a 1175620391 | ||
| 020 | |a 9781119482109 | ||
| 020 | |a 1119482100 | ||
| 020 | |a 1119482089 | ||
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| 084 | |a BUS036000 |2 bisacsh | ||
| 049 | |a UAMI | ||
| 100 | 1 | |a López de Prado, Marcos Mailoc, |e author. | |
| 245 | 1 | 0 | |a Advances in financial machine learning / |c Marcos López de Prado. |
| 264 | 1 | |a Hoboken, New Jersey : |b John Wiley & Sons, Inc., |c [2018] | |
| 264 | 4 | |c ©2018 | |
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a data file | ||
| 588 | 0 | |a Online resource; title from title page (viewed April 18, 2018). | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a "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"-- |c Provided by publisher | ||
| 520 | |a "This book begins by structuring financial data in a way that is amenable to machine learning (ML) algorithms. Then, the author discusses how to conduct research with ML algorithms on that data and how to backtest your discoveries. Most of the problems and solutions are explained using math, supported by code. This makes the book very practical and hands-on. Readers become active users who can test the solutions proposed in their work. Readers will learn how to structure, label, weight, and backtest data. Machine learning is the future, and this book will equip investment professionals with the tools to utilize it moving forward"-- |c Provided by publisher | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Finance |x Data processing. | |
| 650 | 0 | |a Finance |x Mathematical models. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 6 | |a Finances |x Informatique. | |
| 650 | 6 | |a Finances |x Modèles mathématiques. | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Investments & Securities. |2 bisacsh | |
| 650 | 7 | |a Finance |x Data processing |2 fast | |
| 650 | 7 | |a Finance |x Mathematical models |2 fast | |
| 650 | 7 | |a Machine learning |2 fast | |
| 776 | 1 | |c Original |w (DLC) 2017049249 | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781119482086/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a Askews and Holts Library Services |b ASKH |n AH33641334 | ||
| 994 | |a 92 |b IZTAP | ||