Artificial Intelligence in Finance
A Python-Based Guide
$177.90
- Paperback
474 pages
- Release Date
23 October 2020
Summary
The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you’ll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading.
Author Yves Hilpisch shows practitioners, stu…
Book Details
| ISBN-13: | 9781492055433 |
|---|---|
| ISBN-10: | 1492055433 |
| Author: | Yves Hilpisch |
| Publisher: | O'Reilly Media |
| Imprint: | O'Reilly Media |
| Format: | Paperback |
| Number of Pages: | 474 |
| Release Date: | 23 October 2020 |
| Weight: | 840g |
| Dimensions: | 233mm x 178mm |
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About The Author
Yves Hilpisch
Dr. Yves J. Hilpisch is founder and managing partner of The Python Quants, a group that focuses on the use of open source technologies for financial data science, algorithmic trading and computational finance. He is the author of the books Python for Finance (O’Reilly, 2014), Derivatives Analytics with Python (Wiley, 2015) and Listed Volatility and Variance Derivatives (Wiley, 2017). Yves lectures on computational finance at the CQF Program, on data science at htw saar University of Applied Sciences, and is the director for the online training program leading to the first Python for Finance University Certificate (awarded by htw saar).
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