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 prediction methods, using extensive data examples and providing R code for many methods.

Aceasta introducere accesibila, dar riguroasa, este scrisa pentru studentii avansati si studentii incepatori in stiinta datelor, precum si pentru cercetatorii si practicienii. Acesta arata cum un cadru statistic produce metode solide de estimare, testare si predictie, folosind exemple de date extinse si furnizand codul R pentru multe metode.