Introduction to Machine Learning & AI

This course introduces concepts and topics essential to Machine Learning and AI.

Topics covered include predictive analytics algorithms, artificial neural networks, data analysis, and data mining.

The design, architecture, and applications of networks for practical applications will be explored.

Students will also learn how artificial neural networks, such as multilayered perception, are implemented using Python.

Prerequisite: I&C SCI X426.64 Introduction to Python Programming & I&C SCI X425.99 Practical Math & Stats for Data Science.

Recommended prerequisite: I&C SCI X427.05 Fundamentals of Data Science