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Out of curiosity, where did you go (what did you read) after these two books?

I took a step back and read Think Bayes by Downey and watched some of his youtube videos. Then Introduction to Bayesian Statistics by Bolstad is great once you're reading to deal with probabilities. Now I'm reading

* Building probabilistic graphical models with Python (Karkera)

* Mastering probabilistic graphical models using Python (Ankan)

* Probabilistic Graphical Models Principles and techniques (Koller)

Having skimmed (just started reading them) I'm very excited to continue to delve into them.

Ah, I took a similar path - applied Bayes. I was wondering where to go next for theory after Causality. It was such an interesting book.

Probabilistic Graphical Models is a pretty good blend. Not sure how theoretical you want.

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