CIS-200 Introduction to Machine Learning
This course introduces the fundamental concepts and applications of machine learning, a discipline within artificial intelligence and data science that enables computer systems to learn from data and make predictions or decisions based on patterns rather than solely following explicitly programmed rules. Students use Python, one of several languages used in the field, to prepare data and train, evaluate, and interpret machine learning models. Hands-on experience is gained with established Python libraries, such as NumPy and pandas for data analysis, scikit-learn for building and evaluating machine learning models, and matplotlib for visualizing data and results. The course concludes with a project in which students apply machine learning techniques to solve a real-world problem.
Prerequisite
Successful completion of
CIS-190 with a grade of C or higher.