Model-Based Clustering and Classification for Data Science

Discover the essential guide for aspiring data scientists and researchers with Model-Based Clustering and Classification for Data Science by Charles Bouveyron. Published in 2019, this comprehensive book spans 446 pages, offering a rigorous yet accessible introduction to statistical frameworks in data science. Designed for advanced undergraduates and beginning graduate students, it expertly demonstrates how to utilize sound estimation, testing, and prediction methods through extensive data examples. To enhance your learning experience, the book includes R code for various techniques, making it an invaluable resource for both practitioners and scholars. Dive into this insightful work and elevate your understanding of model-based approaches in data science.