Machine Learning Technology in FinTech Ancillary Materials

Authors

Ying Xie, Kennesaw State UniversityFollow
Liang Zhao, Kennesaw State UniversityFollow
Seyedamin Pouriyeh, Kennesaw State UniversityFollow
Jack Zheng, Kennesaw State UniversityFollow
Shirley Tian, Kennesaw State UniversityFollow
Hossain Shahriar, Kennesaw State UniversityFollow

Material Type

Open Course

Publication Date

Fall 2023

Course Title

Machine Learning Tech in FinTech

Course Number

IT 6933

Abstract

This set of materials for Machine Learning Technology in FinTech was created under a Continuous Improvement Grant and includes a full LMS course upload. Topics include decision trees, logistic regression, Bayes, Naïve Bayes, K Nearest Neighbors, and Support Vector Machines.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Recommended Citation

Xie, Ying; Zhao, Liang; Pouriyeh, Seyedamin; Zheng, Jack; Tian, Shirley; and Shahriar, Hossain, "Machine Learning Technology in FinTech Ancillary Materials" (2023). Computer Science and Information Technology Ancillary Materials. 82.
https://oer.galileo.usg.edu/compsci-ancillary/82