LEADER 00949nam--2200337---450- 001 990003576670203316 005 20111014145636.0 010 $a978-88-348-9848-2 035 $a000357667 035 $aUSA01000357667 035 $a(ALEPH)000357667USA01 035 $a000357667 100 $a20111014d2010----km-y0itay50------ba 101 $aita 102 $aIT 105 $ay|||||||001yy 200 1 $aDiritto come questione sociale$fa cura di Emilio Santoro 210 $aTorino$cGiappichelli$d2010 215 $aXVI, 238 p.$d24 cm 606 0 $aSociologia del diritto$2BNCF 676 $a340.115$v22 702 1$aBELVISI,$bFrancesco 702 1$aSANTORO,$bEmilio 801 0$aIT$bsalbc$gISBD 912 $a990003576670203316 951 $aXXII.1.E. 88$b67509 G.$cXXII.1.E.$d00299771 959 $aBK 969 $aGIU 979 $aCHIARA$b90$c20111014$lUSA01$h1456 996 $aDiritto come questione sociale$9248471 997 $aUNISA LEADER 02253nam 2200457 450 001 9910795997103321 005 20230626010334.0 010 $a9781637422786$b(electronic bk.) 010 $z9781637422779 035 $a(MiAaPQ)EBC29423597 035 $a(Au-PeEL)EBL29423597 035 $a(CKB)24342537500041 035 $a(EXLCZ)9924342537500041 100 $a20230626d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGetting data science done $emanaging projects from ideas to products /$fJohn Hawkins 205 $a1st ed. 210 1$aNew York, NY :$cBusiness Expert Press, LLC,$d[2023] 210 4$dİ2023 215 $a1 online resource (220 pages) 300 $aIncludes index. 311 08$aPrint version: Hawkins, John Getting Data Science Done New York : Business Expert Press,c2022 9781637422779 327 $aCover -- Halftitle -- Title -- Copyright -- Description -- Contents -- Preface -- Acknowledgments -- Introduction -- Part I: Problem Framing -- Chapter 1: Getting Started -- Chapter 2: Project Parameters -- Chapter 3: Getting Buy-In -- Chapter 4: Getting Context -- Chapter 5: Getting Measurements -- Chapter 6: Consider Interventions -- Chapter 7: Dwell on Constraints -- Chapter 8: Project Focus -- Chapter 9: Getting Success Metrics -- Part II: Execution -- Chapter 10: Getting Data Updates -- Chapter 11: Data Familiarity -- Chapter 12: Data Science Methods -- Chapter 13: Insights and Analytics -- Chapter 14: Pattern Discovery -- Chapter 15: Predictive Modeling -- Chapter 16: Model Context -- Chapter 17: Project Delivery -- Chapter 18: Estimating ROI -- Chapter 19: Deployment -- Chapter 20: Model Monitoring -- Conclusion -- About the Author -- Index -- Adpage -- Backcover. 606 $aBig data 606 $aData mining 606 $aProject management 615 0$aBig data. 615 0$aData mining. 615 0$aProject management. 676 $a658.054 700 $aHawkins$b John$f1719-1789,$01134439 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910795997103321 996 $aGetting data science done$93845468 997 $aUNINA