Machine Learning for Enterprise Applications Ancillary Materials
Material Type
Open Course
Publication Date
Fall 2023
Course Title
Machine Learning for Enterprise Applications
Course Number
IT 4773
Abstract
This set of ancillary materials for Machine Learning for Enterprise Applications was created under an Affordable Materials Grant. Materials include slides and a study guide for each module. Topics include Intro to Machine Learning, Intro to Google CoLab, Developing a complete machine learning project, Decision Tree and Random Forest, Logistic Regression, Perceptron and Neural Network, and Support Vector Machine.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Tian, Shirley; Xie, Ying; Le, Linh; Jamison, Jamie; and Morrow, Darin, "Machine Learning for Enterprise Applications Ancillary Materials" (2023). Computer Science and Information Technology Ancillary Materials. 80.
https://oer.galileo.usg.edu/compsci-ancillary/80