Faster and better than the transformer but more difficult to trainContinue reading on Towards Data Science »

The article discusses various roles the underscore plays in Python.Continue reading on Towards Data Science »

Part 2: Using bootstrap for observations and A/B testsImage by DALL-E 3In the first part of this series, we've discussed the basic ideas of computer simulations and how you can leverage them to answer "what-if" questions. It's impossible to talk about simulations without bootstrap.Bootstrap in statistics is a practical computer method for estimating...

An important but easy-to-use tool for uncertainty quantification every data scientist should know.Continue reading on Towards Data Science »

Customise Layouts using BlocksContinue reading on Towards Data Science »

A Guide to Hubert et al.’s Robust PCA Procedure (ROBPCA)Principal components analysis is a variance decomposition technique that is frequently used for dimensionality reduction. A thorough guide to PCA is available here. In essence, each principal component is computed by finding the linear combination of the original features which has maximal variance,...