Linklog

A very cool (and thorough) explanation of Kalman filters with great visuals.

I like the "surprise" interpretation of the KL divergence presented in this post. It's quite a clear way to view the KL divergence.

Modeling holiday effects in timeseries forecasting is no easy feat, and this article shows how bayesian methods can really help with that. A great read!

This is a very thorough review on the statistics behind the various measures used to select features when building a predictive model. Very nicely written!

This is a really cool way to analyze the probabilities of minesweeper states from a statistical physics perspective.

A fun analysis of the birthday effect using actual data and thorough methodology.

An illustrated introduction to Bayesian statistics using Jupyter notebooks. I was always confused about the difference between Bayesian and Frequentist approaches until I read this.

An online book focusing on the fundamentals of data science (statistics, traditional machine learning). I don't know much about R (on which this book is based) but most of the theory in there is relevant for any junior data scientist.

Brief introductory book to essential statistics. This online book is very clear and helped me understand concepts I always found confusing.