Statistical Rethinking - A Bayesian Course with Examples in R and Stan (and PyMC3, brms, and Julia too) (github.com)
from ericjmorey@programming.dev to python@programming.dev on 08 Dec 2023 20:33
https://programming.dev/post/6990208

cross-posted from: programming.dev/post/6990204

Richard McElreath has made his course materials available on GitHub.

However, the course follows the 2nd edition of McElreath’s book Statistical Rethinking which is not available in a free digital format.

After watching the first lecture in the Statistical Rethinking 2023 YouTube Playlist, I might go ahead and purchase the text and use this course instead of Trevor Hastie and Rob Tibshirani’s An Introduction to Statistical Learning (with Applications in R or Python) course.

I also like that this resource has made an explicit attempt to provide code examples in Julia as well as the more popular Python and R.

I wasn’t sure who Richard McElreath was so I did a quick search which revealed his position as Director of the Department of Human Behavior, Ecology and Culture at the Max Planck Institute for Evolutionary Anthropology in Leipzig.

#python

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case_when@feddit.uk on 08 Dec 2023 21:02 collapse

His book is THE best book on statistics I’ve ever read. Thoroughly recommended.

ericjmorey@programming.dev on 08 Dec 2023 21:30 collapse

This gives me confidence in my plan. Thanks for the feedback.

driving_crooner@lemmy.eco.br on 09 Dec 2023 02:28 collapse

How is that confidence interval?

ericjmorey@programming.dev on 09 Dec 2023 12:57 collapse

I plan to proceed without considering its significance.