# Maximum likelihood. Which model explains the clues?

Twelve recorded commute times start a modelling detective story. Compare Gaussian settings, multiply density heights, then take logs to find a clearer score.

Nine conversations connect maximum likelihood to the sample mean, least squares and cross-entropy. Explore a prior’s influence on a small-sample estimate and question the assumptions behind a fit.

This premium Machine Learning lesson has its own access setting covering its interactive and all narration.

Canonical page: https://21ifm.com/ml/maximum-likelihood

## Explore

- [Linear regression](https://21ifm.com/ml/linear-regression)
- [Logistic regression extension](https://21ifm.com/ml/logistic-regression-extension)
- [Priors and Bayes](https://21ifm.com/ai/priors-bayes)