Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.
Online Sync Sessions are an integral part of the online learning experience. Additional information about learning concepts and assignments may be discussed and sync sessions offer valuable opportunities for students to interact with their faculty and peers during the term. We encourage all students to attend live, but if they are unable to, sync sessions will be recorded and posted within Canvas to allow for an asynchronous model of success as well.
MSDS 458-DL : Artificial Intelligence and Deep Learning
Description
An introduction to artificial intelligence, this course
illustrates probability-rule-based generative models as well as
discriminative models for learning from data. It reviews
applications of artificial intelligence and deep learning in vision
and language processing. Students learn best practices for building
deep learning models for classification and regression. The learn
about feature engineering, autoencoders, and strategies of
unsupervised and semi-supervised learning, as well as reinforcement
learning. This is a project-based course with extensive programming
assignments.
This is a required course for the Artificial Intelligence
specialization.
Prerequisites: (1) MSDS 420-DL Database Systems or CIS 417
Database Systems Design and Implementation and (2) MSDS 422-DL
Practical Machine Learning or CIS 435 Practical Data Science Using
Machine Learning.
