Yves Hilpisch

Artificial Intelligence in Finance

A Python-Based Guide

• Broschiertes Buch

Produktbeschreibung

With this practical book, practitioners, students, and academics in both finance and data science will learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading.

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Produktdetails

• Verlag: O'Reilly Media
• Seitenzahl: 474
• Erscheinungstermin: 30. November 2020
• Englisch
• Abmessung: 233mm x 179mm x 32mm
• Gewicht: 836g
• ISBN-13: 9781492055433
• ISBN-10: 1492055433
• Artikelnr.: 59078017

Autorenporträt

Dr. Yves J. Hilpisch is founder and managing partner of The Python Quants (http://tpq.io), 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 (http://cqf.com), on data science at htw saar University of Applied Sciences (http://htwsaar.de), and is the director for the online training program leading to the first Python for Finance University Certificate (awarded by htw saar).