
This self-paced, asynchronous course is recommended for learners who want to establish a solid knowledge base in statistics, linear algebra, multivariable calculus, probability and foundational topics in math. Learners can expect to review the mathematical and technical coursework as well as complete a self-assessment.
Daniel Bauer
Lecturer in the discipline of natural language processing in the Department of Computer Science