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241219s2021 ch ab 000 0 eng d |
010 |
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|a2021279237
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|aGBC0F3772|2bnb
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020 |
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|a9781492055433 (pbk.) :|cUS89.99
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|a1492055433 (pbk.)
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035 |
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|a(OCoLC)on1148608450
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|aYDX|beng|cYDX|dBDX|dOCLCQ|dUKMGB|dCDX|dOCLCF|dOCLCO|dCLE|dOCLCO|dJRZ|dOCL|dOCLCO|dOCLCQ|dDLC|dNOU
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|aHG173|b.H537 2020
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|a332.028563|a006.3|223
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|aLB|bLBF|cE020672|dHG173|e.H655|y2021|fWJ|n2528|pBook|tLCC
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100 |
1
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|aHilpisch, Yves J.
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245 |
10
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|aArtificial Intelligence in Finance :|bA Python-Based Guide /|cYves Hilpisch.
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246 |
30
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|aA Python-Based Guide
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250 |
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|a1st ed.
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260 |
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|aBeijing :|bO'Reilly Media,|c2021
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300 |
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|axvii, 455 p. :|bill. ;|c24 cm.
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504 |
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|aIncludes bibliographical references and index.
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505 |
0
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|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.
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650 |
0
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|aPython (Computer program language)
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650 |
0
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|aFinancial services industry|xTechnological innovations.
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650 |
0
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|aFinancial services industry|xInformation technology.
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650 |
0
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|aArtificial intelligence.
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650 |
0
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|aFinance|xData processing.
|