02467nam0 22005773i 450 VAN0027881320240829022533.489N978303141337720240628d2023 |0itac50 baengCH|||| |||||Fundamentals of Supervised Machine LearningWith Applications in Python, R, and StataGiovanni CerulliChamSpringer2023xxiv, 391 p.ill.24 cm001VAN000365262001 Statistics and computing210 Berlin [etc.]Springer1993-62-XXStatistics [MSC 2020]VANC022998MF68-XXComputer science [MSC 2020]VANC019670MF68T05Learning and adaptive systems in artificial intelligence [MSC 2020]VANC023390MF68T07Artificial neural networks and deep learning [MSC 2020]VANC036862MFArtificial Neural NetworksKW:KClassificationKW:KDeep LearningKW:KDiscriminant AnalysisKW:KMachine Learnig Applications in Medicine and EpidemiologyKW:KMachine Learning Applications in the Social SciencesKW:KMachine learningKW:KModel selectionKW:KNearest NeighborsKW:KNonparametric FittingKW:KOntology of Machine LearningKW:KPythonKW:KR softwareKW:KRegularizationKW:KSentiment analysisKW:KStatistical learningKW:KStatisticsKW:KSupervised machine learningKW:KSupport Vector MachinesKW:KTreesKW:KCHChamVANL001889CerulliGiovanniVANV106209790241Springer <editore>VANV108073650ITSOL20250606RICAhttps://doi.org/10.1007/978-3-031-41337-7E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN00278813BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08DLOAD e-Book 9178 08eMF9178 20240702 Fundamentals of Supervised Machine Learning3644887UNICAMPANIA