CALCULUS APPLICATIONS IN MACHINE LEARNING

Course Code:
MATH 500
Course Description:

Machine learning algorithms depend heavily upon the method of gradient descent, which is an application of multivariable calculus. In this course, students will be introduced to the concepts in calculus related to gradient descent including functions, limits, derivatives, partial derivatives, and the chain rle. Te students will then apply these concepts to problems in regression and classification.

Credit:
3