An Intuitive Explanation of the Bayesian Information Criterion
How to know if you’ve picked the right model
Published in
4 min readJul 1, 2020
In machine learning, when faced with a mountain of unlabeled data, a data scientist’s first impulse is to try clustering the data. Clusters give us a way of describing data, finding commonalities between data points, and catching outliers.
