Advances in Financial Machine Learning

Name: Advances in Financial Machine Learning
Brand: Unknown
SKU: 9781119482086
Price: 104.99 NZD
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By Marcos Lopez de Prado

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Summary

Advances in Financial Machine Learning by Marcos Lopez de Prado delves into sophisticated techniques for applying machine learning to the finance sector. The book offers a comprehensive exploration of cutting-edge algorithms and tools used to improve financial market predictions and investment decisions. It provides insights into the practical challenges and solutions when implementing machine learning in financial contexts.
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Format: Hardback

$104⁹⁹

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Advances in Financial Machine Learning

$104⁹⁹

Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

You might enjoy this book if you are interested in integrating machine learning techniques into financial practices. It offers practical insights for developing advanced trading algorithms and data analyses, appealing to those looking to explore the future of finance through innovative computational approaches.

Advances in Financial Machine Learning

Description

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. 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 mathematics, supported by code and examples. Readers become active users who can test the proposed solutions in their individual setting.

Written by a recognised expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.

Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?

Advances in Financial Machine Learning by Marcos Lopez de Prado is highly regarded for its practical approach to applying machine learning techniques in finance. Reviewers praise the author for his expertise and thoroughness, highlighting the book's balance between theoretical insights and practical implementation. The book is noted for its clear explanations and valuable algorithms, making it a useful resource for both academics and practitioners in the field.

Book Details

INFORMATION

ISBN: 9781119482086

Publisher: John Wiley & Sons Inc

Format: Hardback

Date Published: 04 May 2018

Country: United States

Imprint: John Wiley & Sons Inc

Audience: General / adult

DIMENSIONS

Spine width: 31.0mm

Width: 158.0mm

Height: 231.0mm

Weight: 816g

Pages: 400

Collections

Computing & Technology Education & Reference Finance & Economics Finance & Investment Marcos Lopez de Prado Non-Fiction

About the Author

DR. MARCOS LÓPEZ DE PRADO is a principal at AQR Capital Management, and its head of machine learning. Marcos is also a research fellow at Lawrence Berkeley National Laboratory (U.S. Department of Energy, Office of Science). SSRN ranks him as one of the most-read authors in economics, and he has published dozens of scientific articles on machine learning and supercomputing in the leading academic journals. Marcos earned a PhD in financial economics (2003), a second PhD in mathematical finance (2011) from Universidad Complutense de Madrid, and is a recipient of Spain's National Award for Academic Excellence (1999). He completed his post-doctoral research at Harvard University and Cornell University, where he teaches a graduate course in financial machine learning at the School of Engineering. Marcos has an Erdös #2 and an Einstein #4 according to the American Mathematical Society.