CIT 164 - Introduction to Machine Learning

Credits: 3

Description
Introduction to machine learning concepts and Python applications, including data acquisition, supervised and unsupervised learning, and data modeling.

Student Learning Outcomes

Use mathematical tools for analyzing different artificial intelligence (AI) applications (Computation).
Apply AI fundamentals related to data modeling, acquisition and exploration.
Explain how neural networks (deep learning concepts) can be modified to improve accuracy.
Use Python libraries for various statistical data analyses.
Apply various machine learning algorithms.
Use AI applications for importing and processing data to solve data science problems.

Prerequisite: A grade of C or better in CIT 105 , CS 138 , and CIT 144 .
Corequisite: None

Graded: Letter Grade