LEADER 02338nam0 22005533i 450 001 VAN0249280 005 20230530095543.388 017 70$2N$a9783030568313 100 $a20220829d2020 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aFundamentals of Data Analytics$eWith a View to Machine Learning$fRudolf Mathar ... [et al.] 210 $aCham$cSpringer$d2020 215 $axi, 127 p.$cill.$d24 cm 500 1$3VAN0249281$aFundamentals of Data Analytics$92905435 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a68T05$xLearning and adaptive systems in artificial intelligence [MSC 2020]$3VANC023390$2MF 606 $a62H25$xFactor analysis and principal components; correspondence analysis [MSC 2020]$3VANC025575$2MF 606 $a62R07$xStatistical aspects of big data and data science [MSC 2020]$3VANC026514$2MF 610 $aArtificial Intelligence$9KW:K 610 $aClassification$9KW:K 610 $aClustering$9KW:K 610 $aData science$9KW:K 610 $aDiffusion maps$9KW:K 610 $aDimensionality reduction$9KW:K 610 $aIsomap$9KW:K 610 $aKernel methods$9KW:K 610 $aMachine learning$9KW:K 610 $aMapReduce$9KW:K 610 $aMarkov decision processes$9KW:K 610 $aMatrix optimization and approximation$9KW:K 610 $aMultidimensional Scaling$9KW:K 610 $aPrincipal component analysis$9KW:K 610 $aSpectral clustering$9KW:K 610 $aSupervised machine learning$9KW:K 610 $aSupport Vector Machines$9KW:K 610 $aUnsupervised machine learning$9KW:K 620 $aCH$dCham$3VANL001889 702 1$aMathar$bRudolf$3VANV203935 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-030-56831-3$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 $aVAN0249280 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 4669 $e08eMF4669 20220829 996 $aFundamentals of Data Analytics$92905435 997 $aUNICAMPANIA