Machine Learning Frameworks

AIDI 1003


Course description

Machine learning frameworks help accelerate the creation of Artificial Intelligence (AI) systems by utilizing an established set of algorithms, libraries and models specifically designed for machine learning systems. Students gain experience working with an AI framework by learning how to prepare and load the data, prepare a model, train and test the model to perform supervised and unsupervised learning.

Credits

3

Course Hours

42

Students registering for credit courses for the first time must declare a program at the point of registration. Declaring a program does not necessarily mean students must complete a program, individual courses may be taken for skill improvement and upgrading.

For more information, please contact Continuing Education