Covering the essential math: linear algebra, probability, statistics, and calculus.
Working with vectors and matrices, the language of data.
Understanding uncertainty and the likelihood of events.
Describing, analyzing, and drawing inferences from data.
Understanding derivatives and gradients for model optimization.