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. (with applications in R)
Koupit za 2 129 Kč- Od nejoblíbenějších
- Od nejlevnějších
- Od nejdražších
94 %
Model-Based Clustering and Classification for Data Science: With Applications in R (Bouveyron Charles)(Pevná vazba)
Doprava:
39 Kč
2 129 Kč
Koupit za 2 129 Kč
0 %
Model-Based Clustering and Classification for Data Science - Bouveyron, Charles; Celeux, Gilles; Murphy, T. Brendan (University College Dublin); Raftery, Adrian E. (University of Wa
Doprava:
zdarma
2 483 Kč
Koupit za 2 483 Kč
81 %
Model-Based Clustering and Classification for Data Science
Doprava:
89 Kč
2 231 Kč
Koupit za 2 231 Kč
Popis
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. (with applications in R)
Parametry
| Autor | Bouveyron Charles Celeux Gilles Murphy T. Brendan Raftery Adrian E. |
| Počet stran | 446 |
| Výrobce | Cambridge University Press |
| Vazba | Pevná |
| Jazyk | anglické |
| Váha | 1112 gramů |
| ISBN | 110849420X |
