Statistical Learning 2

0.5 credits · Undergraduate

This course continues the development of statistical learning concepts to establish a strong foundation for future courses in machine learning. Topics include regression and multiple regression, connections between linear models and non-linear frameworks such as neural networks and optional topics. Prerequisite: AIST 2000H. Not open to students with credit for MATH 1052H.