Learning Bayesian Models with R: Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems
Learning Bayesian Models with R provides an accessible path into Bayesian machine learning and practical data analysis. Readers explore Bayesian models, work with R, and develop methods for addressing real-world big data problems. It is designed for those seeking applied knowledge of Bayesian techniques and their implementation.
About This Book
Learning Bayesian Models with R introduces Bayesian machine learning methods through the R programming environment.
The book focuses on developing understanding of Bayesian models and applying them to data-driven problems.
It is aimed at readers who want to build practical expertise in Bayesian methods while working with large datasets.
With an emphasis on real-world use, the book connects statistical modeling concepts with implementation in R.
Reviews
No reviews yet. Be the first to review this book!