Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.
MSDS 458-DL : Artificial Intelligence and Deep Learning
Description
An introduction to the field of artificial intelligence, this
course illustrates probability-rule-based generative models as well
as discriminative models that learn from training data. The course
reviews applications of artificial intelligence and deep learning
in vision and language processing. Students learn best practices
for building supervised learning models and, in particular, deep
neural networks for classification and regression. Students also
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 and Data
Preparation 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.
