LEADER 02253nam  2200457   450 
001 9910819602503321
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   $a9910819602503321
996   $aGetting data science done$93917141
997   $aUNINA