Artificial intelligence in finance
a Python-based guide
Hilpisch, Yves J.
creator
text
bibliography
cau
Sebastopol, Calif
O'Reilly Media
2020, c2021
2020
2021
1st ed.
monographic
eng
xvii, 455 p. : ill.
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.
Yves Hilpisch.
Includes bibliographical references and index.
Financial services industry
Technological innovations
Financial services industry
Information technology
Artificial intelligence
Finance
Data processing
Python (Computer program language)
HG173 .H55 2020
9781492055433 (pbk.)
1492055433 (pbk.)
200222
on1148608450