Artificial intelligence in finance a Python-based guide

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'l...

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Bibliographic Details
Other Authors: Hilpisch, Yves J., author (author)
Format: eBook
Language:Inglés
Published: Beijing : O'Reilly [2021]
Edition:1st edition
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631613206719
Table of Contents:
  • Part 1. Machine intelligence. 1. Artificial intelligence
  • 2. Superintelligence
  • Part 2. Finance and machine learning. 3. Normative finance
  • 4. Data-driven finance
  • 5. Machine learning
  • 6. AI-first finance
  • Part 3. Statistical inefficiencies. 7. Dense neural networks
  • 8. Recurrent neural networks
  • 9. Reinforcement learning
  • Part 4. Algorithmic trading. 10. Vectorized backtesting
  • 11. Risk management
  • 12. Execution and deployment
  • Part 5. Outlook. 13. AI-based competition
  • 14. Financial singularity
  • Part 6. Appendixes.