AI engineering glossary · ML fundamentals
What is probabilistic model?
Probabilistic model: A model that expresses its predictions as probabilities or distributions rather than single answers, capturing uncertainty. It allows decisions to weigh how confident the prediction is and to combine with prior knowledge.
Probabilistic model: an example
Instead of saying 'default', the model reports a 23% chance the applicant will default.
Related terms
More ML fundamentals terms
- Problem framing
- Random search
- Random seed
- Regression
- Regularisation
- Representation learning
- Reproducibility
- Selection bias
Where you learn it
Probabilistic model is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.