University of Technology Sydney

36124 Applied 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 a holistic view of navigating through data science for brining innovation into the real-life problems. Participants acquire relevant technical skills in a comprehensive manner starting from exploratory data analysis, data visualisations leading to understanding of target prediction feature category and selection of ML based on the analysis. This is followed by regression and classification analysis. While getting hands on to the core applied machine learning, students are also introduced to the agile methodology for running a controlled ML experiment. Finally, students are introduced to techniques to save the trained models and then load the trained models in production environment.


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.