000			01494cam a2200289Ii 4500
001			on1148608450
003			OCoLC
007			ta
008			200222t20202021caua b 001 0 eng d
020			_a9781492055433 (pbk.)
020			_a1492055433 (pbk.)
035			_a(OCoLC)1148608450
050			_aHG173 _b.H55 2020
100	1		_aHilpisch, Yves J.
245	1	0	_aArtificial intelligence in finance : _ba Python-based guide / _cYves Hilpisch.
250			_a1st ed.
260			_aSebastopol, Calif. : _bO'Reilly Media, _c2020, c2021.
300			_axvii, 455 p. : _bill.
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		4	_aFinancial services industry _xTechnological innovations.
650		4	_aFinancial services industry _xInformation technology.
650		4	_aArtificial intelligence.
650		4	_aFinance _xData processing.
650		4	_aPython (Computer program language)
942			_2lcc _cBK
999			_c1283 _d1283