Mathematical Methods for Data Science I

Undergraduate / Graduate

This course introduces topics in probability and calculus (III) for data science students. Topics covered include random variables and probability distributions, independence, conditional probability, expected values, the central limit theorem, the definite integral, integration of functions of several variables, sums and transformations of random variables, multivariable calculus - partial derivatives, gradients, and gradient descent.