ML is applied statistics. Every model makes probabilistic assumptions. Every experiment needs statistical validation. Interviewers test whether you can reason about uncertainty.
I'll cover probability distributions, Bayesian thinking, hypothesis testing, and A/B testing design. A/B testing questions appear in almost every product-focused ML interview. Statistical reasoning separates you from engineers who just build models.