Recommended Resources A collection of Recommended Blogs, Books, etc.
- R-bloggers
- Frank Harrel’s website
- David Speigelhalter’s blog - Understanding Uncertainty (not actively maintained but has many gems)
- Stephen Senn’s blog
- Darren Dahly’s blog
- David Robinson’s blog - Variance Explained
- Julia Silge’s blog
- Marzieh Ghiasi’s blog
- Daniela Witten’s publications
- Stitch Fix’s blog on data science
- Gavin Simpson’s blog
- Andrew Gelman et al.’s blog
- Daniel Laken’s blog
- A blog on reasoning in a digital world - Calling Bullshit
- Christoph Molnar’s e-book on interpretable machine learning
- An automatically updated list of ML topics