A Comprehensive Introduction to Bayesian Deep Learning by Joris Baan via @TOPBOTS

Even knowing basic probability theory, you may have a hard time understanding and connecting that to modern Bayesian deep learning research. In this article, Joris Baan aims to bridge that gap and provides a comprehensive introduction.

I found this useful especially if you can do with a reminder of Bayesian DL and certainly I appreciated the reminder and was able to approach it with a fresher viewpoint.

How Bayesian Inference Works by Brandon Rohrer via @kdnuggets

Bayesian inference isn’t magic or mystical; the concepts behind it are completely accessible. In brief, Bayesian inference lets you draw stronger conclusions from your data by folding in what you already know about the answer. Read an in-depth overview here.

I really enjoyed reading this as it reminded me of some aspects that I had either forgotten or didn't appreciate fully.