LEADER 02571oam 2200589M 450 001 9911075763703321 005 20191121064228.1 035 $a(CKB)46369728800041 035 $a(DGPO)001184509 035 $a(OCoLC)1065575552 035 $a(EXLCZ)9946369728800041 100 $a20070221d1840 ua 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMessage from the President of the United States, transmitting, in compliance with a resolution of the Senate, reports from the Secretaries of the Treasury and the Navy, and from the Postmaster General, in relation to the sale of government drafts for bank-notes, and the payment of government creditors in depreciated currency. April 18, 1840. Read, and ordered to be printed 210 1$a[Washington, D.C.] :$c[publisher not identified],$d1840. 215 $a1 online resource (10 pages) 225 1 $aSenate document / 26th Congress, 1st session. Senate ;$vno. 406 225 1 $a[United States congressional serial set] ;$v[serial no. 359] 300 $aBatch processed record: Metadata reviewed, not verified. 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Some fields updated by batch processes. 300 $aFDLP item number not assigned. 606 $aCommunism 606 $aEstonians 606 $aEmigration and immigration 606 $aImmigration courts 606 $aVisas 606 $aFinns 606 $aLatvians 606 $aPolish people 606 $aPolitical refugees 606 $aRefugees 606 $aRussians 606 $aSwedes 608 $aLegislative materials.$2lcgft 615 0$aCommunism. 615 0$aEstonians. 615 0$aEmigration and immigration. 615 0$aImmigration courts. 615 0$aVisas. 615 0$aFinns. 615 0$aLatvians. 615 0$aPolish people. 615 0$aPolitical refugees. 615 0$aRefugees. 615 0$aRussians. 615 0$aSwedes. 701 $aWalter$b Francis E$g(Francis Eugene),$f1894-1963$pDemocrat (PA)$01902860 801 0$bWYU 801 1$bWYU 801 2$bOCLCO 801 2$bOCLCQ 906 $aBOOK 912 $a9911076865703321 996 $aCertain displaced persons. May 12, 1952. -- Committed to the Committee of the Whole House and ordered to be printed$94599724 997 $aUNINA LEADER 03473uam 2200553 a 450 001 9911092977603321 005 20240506114551.0 010 $a9781119482116 010 $a1119482119 035 $a(CKB)3840000000340227 035 $a(CaSebORM)9781119482086 035 $a(MiAaPQ)EBC5240570 035 $a(BIP)060890092 035 $a(OCoLC)1031706579 035 $a(OCoLC)on1031706579 035 $a(FR-PaCSA)88944366 035 $a(FRCYB88944366)88944366 035 $a(EXLCZ)993840000000340227 100 $a20230318d2018 uy 101 0 $aeng 135 $au||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Financial Machine Learning /$fde Prado, Marcos 205 $a1st edition 210 1$cWiley,$d2018. 215 $a1 online resource (400 pages) 311 08$a9781119482086 311 08$a1119482089 320 $aIncludes bibliographical references and index. 327 $aMachine generated contents note: About the Author Preamble 1. Financial Machine Learning as a Distinct Subject Part 1: Data Analysis 2. Financial Data Structures 3. Labeling 4. Sample Weights 5. Fractionally Differentiated Features Part 2: Modelling 6. Ensemble Methods 7. Cross-validation in Finance 8. Feature Importance 9. Hyper-parameter Tuning with Cross-Validation Part 3: Backtesting 10. Bet Sizing 11. The Dangers of Backtesting 12. Backtesting through Cross-Validation 13. Backtesting on Synthetic Data 14. Backtest Statistics 15. Understanding Strategy Risk 16. Machine Learning Asset Allocation Part 4: Useful Financial Features 17. Structural Breaks 18. Entropy Features 19. Microstructural Features Part 5: High-Performance Computing Recipes 20. Multiprocessing and Vectorization 21. Brute Force and Quantum Computers 22. High-Performance Computational Intelligence and Forecasting Technologies Dr. Kesheng Wu and Dr. Horst Simon Index. 330 $aMachine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives. The book addresses real-life problems faced by practitioners on a daily basis, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their particular setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance. 606 $aFinance$xData processing 606 $aFinance$xMathematical models 606 $aMachine learning 615 0$aFinance$xData processing. 615 0$aFinance$xMathematical models. 615 0$aMachine learning. 676 $a332.0285/631 686 $aBUS036000$2bisacsh 700 $ade Prado$b Marcos$01957887 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911092977603321 996 $aAdvances in Financial Machine Learning$94718259 997 $aUNINA