Bayesian Inference
AI/ML Fundamentals
Probabilistic approach updating beliefs with evidence
What is Bayesian Inference?
Uses Bayes’ theorem to update probability estimates as new data arrives. Useful for uncertainty quantification and probabilistic modeling.
Real-World Examples
- •Updating disease probability after test results
- •Bayesian neural networks
Related Terms
Learn more about concepts related to Bayesian Inference