Linklog
A curated collection of links and resources I have found over time.
February 2025
Week 7
- Bayesian Methods for Hackers (dataorigami.net)
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.
September 2024
Week 40
- Introduction to Data Science (rafalab.dfci.harvard.edu)
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.
July 2024
Week 31
- A User’s Guide to Statistical Inference and Regression (mattblackwell.github.io)
Brief introductory book to essential statistics. This online book is very clear and helped me understand concepts I always found confusing.