Hilpisch, Yves J. <br/><br/>
Artificial intelligence in finance :  a Python-based guide / 
Yves Hilpisch. 
 - 1st ed. 
 - Sebastopol, Calif. :   O'Reilly Media,   2020, c2021. 
 - xvii, 455 p. :  ill. 
<br/><br/>Includes bibliographical references and index. 
<br/><br/>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. 
<br/><br/><label>ISBN: </label>9781492055433 (pbk.) 1492055433 (pbk.) 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Financial services industry--Technological innovations.<br/>Financial services industry--Information technology.<br/>Artificial intelligence.<br/>Finance--Data processing.<br/>Python (Computer program language)
<br/><br/><label>LC Class. No.: </label>HG173  / .H55 2020