Advances in financial machine learning

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Advances in financial machine learning
Marcos Mailoc López de Prado, ...
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Last edited by ImportBot
December 20, 2023 | History

Advances in financial machine learning

  • 7 Want to read

"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"--

Publish Date
Publisher
Wiley
Language
English
Pages
366

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Edition Availability
Cover of: Advances in financial machine learning
Advances in financial machine learning
2018, Wiley
in English

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Book Details


Edition Notes

Includes index.

Machine generated contents note: About the Author Preamble 1. Financial Machine Learning as a Distinct Subject Part 1: Data Analysis 2. Financial Data Structures 3. Labeling 4. Sample Weights 5. Fractionally Differentiated Features Part 2: Modelling 6. Ensemble Methods 7. Cross-validation in Finance 8. Feature Importance 9. Hyper-parameter Tuning with Cross-Validation Part 3: Backtesting 10. Bet Sizing 11. The Dangers of Backtesting 12. Backtesting through Cross-Validation 13. Backtesting on Synthetic Data 14. Backtest Statistics 15. Understanding Strategy Risk 16. Machine Learning Asset Allocation Part 4: Useful Financial Features 17. Structural Breaks 18. Entropy Features 19. Microstructural Features Part 5: High-Performance Computing Recipes 20. Multiprocessing and Vectorization 21. Brute Force and Quantum Computers 22. High-Performance Computational Intelligence and Forecasting Technologies Dr. Kesheng Wu and Dr. Horst Simon Index.

Includes bibliographical references and index.

Classifications

Dewey Decimal Class
332.0285/631
Library of Congress
HG104 .L67 2018, HG104

The Physical Object

Pagination
xxi, 366 pages
Number of pages
366

ID Numbers

Open Library
OL26950595M
ISBN 10
1119482089
ISBN 13
9781119482086
LCCN
2017049249, 2018009027
OCLC/WorldCat
1005693943, 1021096780

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History

Download catalog record: RDF / JSON / OPDS | Wikipedia citation
December 20, 2023 Edited by ImportBot import existing book
December 17, 2022 Edited by MARC Bot import existing book
October 28, 2022 Edited by ImportBot import existing book
October 11, 2020 Edited by ImportBot import existing book
May 24, 2019 Created by MARC Bot Imported from marc_openlibraries_sanfranciscopubliclibrary MARC record