AI engineering glossary · Probability
What is bayesian probability?
Bayesian probability: An interpretation in which probability measures a degree of belief about a statement, updated as new evidence arrives. It allows probabilities for one-off situations that cannot be repeated, such as whether a particular model is correct.
Bayesian probability: an example
You believe there is a 30% chance a new feature will lift sign-ups. After a pilot shows a strong uplift, you revise the belief upward to, say, 70%.
Related terms
More Probability terms
- Bernoulli distribution
- Binomial distribution
- Birthday problem
- Categorical distribution
- Central limit theorem
- Chain rule of probability
- Chebyshev's inequality
- Classical probability
Where you learn it
Bayesian probability is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.