Model-Based Clustering and Classification for Data Science
Model-Based Clustering and Classification for Data Science
This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data science, as well as researchers and practitioners. It shows how a statistical framework yields sound estimation, testing and predictio
BOUVEYRON, CHARLES,CELEUX, GILLES,MURPHY, T. BRENDAN (UNIVERSITY COLLEGE DUBLIN),RAFTERY, ADRIAN E. (UNIVERSITY OF WASHINGTON)
Model-Based Clustering and Classification for Data Science
This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data science, as well as researchers and practitioners. It shows how a statistical framework yields sound estimation, testing and predictio
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9781108494205Mladinska knjiga ID
9781108494205Leto izida
2019Datum izida
25.07.2019Število strani
446Status dobavljivosti
7-10 delovnih dniZbirka
Cambridge Series in Statistical and Probabilistic MathematicsZaložnik
Cambridge University PressAvtor
Bouveyron, Charles,Celeux, Gilles,Murphy, T. Brendan (University College Dublin),Raftery, Adrian E. (University of Washington)Dimenzije
186 x 260 x 25BIC
JHBC,KCH,KCHS,MBNS,PBT,UNC,UNF,UYQMOpis
This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data science, as well as researchers and practitioners. It shows how a statistical framework yields sound estimation, testing and prediction methods, using extensive data examples and providing R code for many methods.Pogosto kupljeno skupaj
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