## Notes

- Describing knowledge of a system probabilistically, having an appropriate prior probability, know how to weigh new evidence, and following Bayes’s rule to compute the revised distribution.
- How Yoshi sends signals about her food preferences.
- Prob x given y
- Posterior probability and prior probability
- Distribution after and distribution before
- Prior times likelihood is posterior
- Converges quickly to new posterior