University of Technology Sydney

36125 Advanced Data Science for Innovation

2cp; distance

Notes

This subject is only available via UTS open as microcredential subjects and is not suitable for enrolled MDSI students.

Description

The subject provides students an overall view of steering innovation using Machine Learning to solve the business problem in every ay life. Students acquire knowledge and skills to build various types of classification models such as Decision Trees, Random Forest, Kmean, SVM. Additionally, they also learn how to optimize the models. Finally, they are exposed to deploy machine learning algorithms in production environment using Agile methodology.


Detailed subject description.

Access conditions

Note: The requisite information presented in this subject description covers only academic requisites. Full details of all enforced rules, covering both academic and admission requisites, are available at access conditions and My Student Admin.