Further Reading

This thread by Michael Betancourt provides a good overview of the instrumentalist idea of probability, which treats probabilities simply as their mathematical objects. It influenced how I write about mass in this site.

Some more tutorials from Jeremy Kun:

• Probability primer
• Conditional probability

If you want to dive more deeply into probability theory, Michael Betancourt’s case studies are rather mathematically dense but quite good:

• Probability Theory (For Scientists and Engineers)
• Conditional Probability
• Product Placement (probability over product spaces)

For a book:

• Introduction to Probability for Data Science by Stanley H. Chan
• Introduction to Probability by Grinstead and Snell
• An Introduction to Probability and Simulation — a hands-on online book using Python simulations
• A Probability Path by Sidney Resnick