Model-Based Clustering and Classification for Data Science
2652 Kč
Odesíláme do 5 až 7 dní
Sleva až 70% u třetiny knih
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.
| Autor: | Bouveyron, Charles; Celeux, Gilles; Murphy, T. Brendan (University College Dublin); Raftery, Adrian E. (University of Wa |
| Nakladatel: | Cambridge University Press |
| ISBN: | 9781108494205 |
| Rok vydání: | CZE |
| Jazyk : | Čeština |
| Vazba: | CZE |
| Počet stran: | CZE |
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