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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 Date due Barcode Item holds
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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