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Model-Based Clustering and Classification for Data Science: With Applications in R - Cambridge Series in Statistical and Probabilistic Mathematics Charles Bouveyron
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Model-Based Clustering and Classification for Data Science: With Applications in R - Cambridge Series in Statistical and Probabilistic Mathematics
Charles Bouveyron
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.
446 pages, Worked examples or Exercises; 48 Tables, black and white; 72 Halftones, color; 9 Halftone
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2019. gada 25. jūlijs |
| ISBN13 | 9781108494205 |
| Izdevēji | Cambridge University Press |
| Lapas | 446 |
| Izmēri | 260 × 186 × 25 mm · 1,02 kg |
| Valoda | Angļu |
