The below article describes the mechanism of text generation models. We cover the basic model like Markov Chains as well the more advanced deep learning models. We also give a demo of domain-specific text generation using the latest GPT-J model.

This review gives a comprehensive study of application of information theory in Machine Learning methods and algorithms.

The article simplifies and tries to describe the novel state-of-the-art technique for topic modelling - BERTopic. It is a breakdown of the paper on the same topic by Maarten Grootendorst.

This article explains and provides a comparative study of a few techniques for dimensionality reduction. It dives into the mathematical explanation of several feature selection and feature transformation techniques, while also providing the algorithmic representation and implementation of some other techniques. Lastly, it also provides a very brief review of various other works done in this space.