Intro to probability

2022-07-04 — 2022-07-04

Wherein an Interactive Tutorial on Probability Is Compiled, With Bayesian Worksheets and Computational Tools Such as Squiggle and Guesstimate Being Provided to Enable Hands-on Exploration of Probabilistic Reasoning.

algebra

graphical models

how do science

machine learning

networks

probability

statistics

Notes and links for writing an interactive tutorial on probability. Published as-is; I ended up doing something different in the end.

Jessica Doyle: Hello, Twitter. I would like to discuss that “China bans effeminate men from TV” news from last week (e.g. https://t.co/1bIBrOJCt7)
Ian Leslie, How To Be Influenced
A Bayesian probability worksheet
Here’s a little problem to test your probability intuitions:
David Spiegelhalter, Using expected frequencies when teaching probability.
Great Expectations: Probability Through Problems
DRMacIver’s Notebook: Probably enough probability for you
Mathematics for Machine Learning
A Critical Review of Open Philanthropy’s Bet On Criminal Justice Reform
Squiggle
- Overview
- Playground
- Integrations
- Squiggle
- Sam Nolan, Squiggle meets Observable
Guesstimate
Attractors