Hilpisch, Yves
Artificial Intelligence in Finance: A Python-Based Guide
- ISBN 13:
- 9781492055433
- author:
- Hilpisch, Yves
- format:
- Paperback / softback
- publisher:
- O'Reilly Media, Inc, USA
- language:
- English
- Publication Year:
- 2020
- Pages:
- 474
- Dimensions:
- 23.3 x 17.8 centimeters
- Genre:
- Computers, Programming, Python,
- Condition:
- New
- Availability:
- Item usually sent within 7 working days
Description
Discover how to harness the power of artificial intelligence and machine learning in finance with this practical guide. Yves Hilpisch shows you how to apply these technologies to uncover statistical inefficiencies in financial markets and exploit them through algorithmic trading.
This comprehensive book covers five key areas: central notions and algorithms from AI, data-driven finance, applying neural networks and reinforcement learning, backtesting and algorithmic trading, and the impact of AI on the competitive dynamics in the financial industry.
With numerous self-contained Python examples, you'll be able to replicate all results and figures presented in the book. Perfect for practitioners, students, and academics in finance and data science, this guide provides a practical introduction to machine learning and deep learning algorithms in finance.
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