AI 240 - Programming for Machine Learning

5 CR

Previously ROBAI 240.
Machine learning is a powerful tool used to solve complex problems. Learn to prepare and analyze complex structured and unstructured datasets. Develop models that make predictions and create systems that can be “trained,” adapt and improve with experience. Apply an object-oriented programming language to implement machine learning algorithms and models.

Prerequisite(s): BA 240 and PROG 108 or DEV 108, both with a C grade or better, or permission of the instructor.

Course Outcomes

Outline the basic principles and theories, evolution and applications of machine learning
Prepare and validate datasets, represent as features, and apply a dataset to fit a model to analyze new data
Select, implement and test the appropriate algorithms to solve specific problems
Build an end-to-end application using machine learning implemented using an object-oriented language
Develop, test and tune various learning models
Analyze model performance and make recommendations for model improvement

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