midProbability
What is Bayes inference in machine learning?
Updated May 17, 2026
Short answer
Bayesian inference updates model beliefs using observed data.
Deep explanation
It uses Bayes theorem to update prior distributions into posterior distributions. It is fundamental in probabilistic ML models and uncertainty estimation.
Real-world example
Spam filtering systems learning from new emails.
Common mistakes
- Ignoring prior distributions.
Follow-up questions
- What is posterior distribution?
- What is likelihood?