Bernoulli, Categorical, Gaussian, and others -- are the building blocks for modeling data in AI systems. 3. **Expectation and variance** summarize distributions and appear in loss functions, evaluation metrics, and optimization. 4. **Maximum likelihood estimation** finds parameters that maximize the