BAYESIAN THINKING IN R: A PRACTICAL GUIDE TO PROBABILISTIC REASONING (THE APPLIED DATA SCIENCE WITH R SERIES)
by Lamina J. A.
Explore Bayesian thinking and probabilistic reasoning through R in this practical guide to applied data science. The book presents a focused introduction to statistical concepts and computational methods, making it a useful resource for readers who want to understand Bayesian approaches in an R-based data science context.
About This Book
Bayesian Thinking in R introduces probabilistic reasoning through the R programming language.
The book focuses on practical applications of Bayesian methods within applied data science.
It is suited to readers seeking a guide to statistical thinking, probability, and computational analysis.
As part of The Applied Data Science with R Series, it connects Bayesian concepts with hands-on work in R.
Reviews
No reviews yet. Be the first to review this book!