Advances in financial machine learning
Published
Hoboken, New Jersey : John Wiley & Sons, Inc., [2018].
Status
Available Online
Description
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Format
Language
English
ISBN
9781119482109, 1119482100, 1119482089, 9781119482086
Notes
Bibliography
Includes bibliographical references and index.
Description
"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"--,Provided by publisher
Description
"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"--,Provided by publisher
Local note
O'Reilly,O'Reilly Online Learning: Academic/Public Library Edition
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Citations
APA Citation, 7th Edition (style guide)
López de Prado, M. M. (2018). Advances in financial machine learning . John Wiley & Sons, Inc..
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)López de Prado, Marcos Mailoc. 2018. Advances in Financial Machine Learning. Hoboken, New Jersey: John Wiley & Sons, Inc.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)López de Prado, Marcos Mailoc. Advances in Financial Machine Learning Hoboken, New Jersey: John Wiley & Sons, Inc, 2018.
Harvard Citation (style guide)López de Prado, M. M. (2018). Advances in financial machine learning. Hoboken, New Jersey: John Wiley & Sons, Inc.
MLA Citation, 9th Edition (style guide)López de Prado, Marcos Mailoc. Advances in Financial Machine Learning John Wiley & Sons, Inc., 2018.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
ae269864-7532-7ee8-b41e-ba8ae14db7fb-eng
Grouping Information
| Grouped Work ID | ae269864-7532-7ee8-b41e-ba8ae14db7fb-eng |
|---|---|
| Full title | advances in financial machine learning |
| Author | lópez de prado marcos mailoc |
| Grouping Category | book |
| Last Update | 2025-01-24 12:33:29PM |
| Last Indexed | 2025-02-07 03:25:13AM |
Book Cover Information
| Image Source | contentCafe |
|---|---|
| First Loaded | Jul 14, 2024 |
| Last Used | Nov 13, 2024 |
Marc Record
| First Detected | Mar 21, 2023 11:45:47 AM |
|---|---|
| Last File Modification Time | Mar 21, 2023 11:45:47 AM |
| Suppressed | Record had no items |
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| 264 | 1 | |a Hoboken, New Jersey :|b John Wiley & Sons, Inc.,|c [2018] | |
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| 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 | ||
| 588 | 0 | |a Online resource; title from title page (viewed April 18, 2018). | |
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