Building Your First Classification Model in Python with Scikit-learn

Free Live ML Workshop #4 on Oct 1 - Register Now

dotsdots

Beginning Bayes in R

Description

There are two schools of thought in the world of statistics, the frequentist perspective and the Bayesian perspective. At the core of the Bayesian perspective is the idea of representing your beliefs about something using the language of probability, collecting some data, then updating your beliefs based on the evidence contained in the data. This provides a convenient way of implementing the scientific method for learning about the world we live in. Bayesian statistics is increasingly popular due to recent improvements in computation, the ability to fit a wide range of models, and to produce intuitive interpretations of the results.Read more.

This resource is offered by an affiliate partner. If you pay for training, we may earn a commission to support this site.

Career Relevance by Data Role

The techniques and tools covered in Beginning Bayes in R are most similar to the requirements found in Data Scientist job advertisements.

Similarity Scores (Out of 100)