LEADER 02467nam0 22005773i 450 001 VAN00278813 005 20240829022533.489 017 70$2N$a9783031413377 100 $a20240628d2023 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aFundamentals of Supervised Machine Learning$eWith Applications in Python, R, and Stata$fGiovanni Cerulli 210 $aCham$cSpringer$d2023 215 $axxiv, 391 p.$cill.$d24 cm 410 1$1001VAN00036526$12001 $aStatistics and computing$1210 $aBerlin [etc.]$cSpringer$d1993- 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a68-XX$xComputer science [MSC 2020]$3VANC019670$2MF 606 $a68T05$xLearning and adaptive systems in artificial intelligence [MSC 2020]$3VANC023390$2MF 606 $a68T07$xArtificial neural networks and deep learning [MSC 2020]$3VANC036862$2MF 610 $aArtificial Neural Networks$9KW:K 610 $aClassification$9KW:K 610 $aDeep Learning$9KW:K 610 $aDiscriminant Analysis$9KW:K 610 $aMachine Learnig Applications in Medicine and Epidemiology$9KW:K 610 $aMachine Learning Applications in the Social Sciences$9KW:K 610 $aMachine learning$9KW:K 610 $aModel selection$9KW:K 610 $aNearest Neighbors$9KW:K 610 $aNonparametric Fitting$9KW:K 610 $aOntology of Machine Learning$9KW:K 610 $aPython$9KW:K 610 $aR software$9KW:K 610 $aRegularization$9KW:K 610 $aSentiment analysis$9KW:K 610 $aStatistical learning$9KW:K 610 $aStatistics$9KW:K 610 $aSupervised machine learning$9KW:K 610 $aSupport Vector Machines$9KW:K 610 $aTrees$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aCerulli$bGiovanni$3VANV106209$0790241 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20250606$gRICA 856 4 $uhttps://doi.org/10.1007/978-3-031-41337-7$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN00278813 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-Book 9178 $e08eMF9178 20240702 996 $aFundamentals of Supervised Machine Learning$93644887 997 $aUNICAMPANIA