Learning Bayesian Models with R

Dr. Hari M. Koduvely · Packt Publishing · 2016-07-01

Bayesian Inference provides a unified framework to deal with all sorts of uncertainties when learning patterns form data using machine learning models and use it for predicting future observations. However, learning and implementing Bayesian models is not easy for data science practitioners due to the level of mathematical treatment involved. Also, applying Bayesian methods to real-world problems requires high computational resources.

ISBN
9781783987603
출판일
2016-07-01
출판사
Packt Publishing
저자
Dr. Hari M. Koduvely