000			01475nam a22003017a 4500
003			IIITD
005			20240820020004.0
008			220502t20202021cc a b 001 0 eng d
020			_a9781492055433
040			_aIIITD
082	0	4	_a006.3 _bHIL-A
100	1		_aHilpisch, Yves
245	1	0	_aArtificial intelligence in finance : _ba python-based guide _cby Yves Hilpisch
260			_aBeijng : _bO'Reilly, _c©2021
300			_axvii, 455 p. : _bill. ; _c24 cm.
504			_aIncludes bibliographical references and index.
505	0		_aPart 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.
650		0	_aFinancial services industry
650		0	_aFinancial services industry
650		0	_aArtificial intelligence.
650		0	_aFinance
650		0	_aPython (Computer program language)
650		7	_aFinancial services industry
650		7	_aArtificial intelligence.
650		7	_aFinance
650		7	_aPython Computer program language
942			_2ddc _cBK _01
999			_c172506 _d172506