LEADER 00774nam0-22002771i-450- 001 990000058760403321 035 $a000005876 035 $aFED01000005876 035 $a(Aleph)000005876FED01 035 $a000005876 100 $a20011111d--------km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $aRecueil sommaire des ponts projets et excuts$e1849-1873$fpar A. Legrand. 210 $aParis$cJ. Dejey$d<1873> 215 $aPaginazione varia, 14 tav.$cill.$d27x40 cm 300 $aIn testa al front. Service vicinal 676 $a624.2 700 1$aLegrand,$bA. 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000058760403321 952 $a13 AR 5 A 52$b2275$fFINBC 959 $aFINBC 997 $aUNINA DB $aING01 LEADER 02267nam 2200577 450 001 9910817121303321 005 20180613001258.0 010 $a1-4704-0799-X 035 $a(CKB)3360000000464563 035 $a(EBL)3113903 035 $a(SSID)ssj0000888906 035 $a(PQKBManifestationID)11456892 035 $a(PQKBTitleCode)TC0000888906 035 $a(PQKBWorkID)10866567 035 $a(PQKB)10953217 035 $a(MiAaPQ)EBC3113903 035 $a(RPAM)1006580 035 $a(PPN)195412621 035 $a(EXLCZ)993360000000464563 100 $a20140903h19881988 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aEquivariant surgery and classification of finite group actions on manifolds /$fKarl Heinz Dovermann and Melvin Rothenberg 210 1$aProvidence, Rhode Island, United States :$cAmerican Mathematical Society,$d1988. 210 4$dİ1988 215 $a1 online resource (132 p.) 225 1 $aMemoirs of the American Mathematical Society,$x0065-9266 ;$vVolume 71, Number 379 300 $a"January 1988, Volume 71, Number 379 (first of 5 numbers)"--Cover. 311 $a0-8218-2442-2 320 $aIncludes bibliographical references. 327 $a""7. Addition of equivariant surgery obstructions""""8. The exact surgery sequence""; ""9. Computations of equivariant surgery obstruction groups""; ""10. Rational surgery obstructions""; ""11. Classification of group actions on disks""; ""12. Closed manifolds which are not G homotopy equivalent to finite G CW-complexes"" 410 0$aMemoirs of the American Mathematical Society ;$vVolume 71, Number 379. 606 $aTopological transformation groups 606 $aSurgery (Topology) 606 $aCobordism theory 615 0$aTopological transformation groups. 615 0$aSurgery (Topology) 615 0$aCobordism theory. 676 $a514 700 $aDovermann$b Karl Heinz$f1948-$01106716 702 $aRothenberg$b Melvin$f1934- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910817121303321 996 $aEquivariant surgery and classification of finite group actions on manifolds$93936636 997 $aUNINA 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