The foundations of AI/ML are really linear algebra and statistics. But not the kinds of stats most people learn in undergrad: focus on linear models (there are

The foundations of AI/ML are really linear algebra and statistics. But not the kinds of stats most people learn in undergrad: focus on linear models (there are tons of great books on just that; also look up “common statistical tests are linear models” for a great intro into what i’d call useful stats), bayesian stats, anova/manova/permanova, etc.