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Artificial intelligence in finance : a Python-based guide / Yves Hilpisch.

By: Material type: TextTextPublication details: Sebastopol, Calif. : O'Reilly Media, 2020, c2021.Edition: 1st edDescription: xvii, 455 p. : illISBN:
  • 9781492055433 (pbk.)
  • 1492055433 (pbk.)
Subject(s): LOC classification:
  • HG173 .H55 2020
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.
Item type: Books
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Holdings
Item type Home library Shelving location Call number Status Barcode
Books Books Punsarn Library General Stacks HG173 .H55 2020 (Browse shelf(Opens below)) Available PNLIB21061097
Total holds: 0

Includes bibliographical references and index.

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.

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