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MakeMyCareer

ETW2500 · Monash University

Unsupervised learning for business

Credit points
6
Level
2
Workload
≈ 12 h / week
Faculty
Business and Economics

What it covers

Unsupervised learning for business is a specialised field within machine learning that focuses on extracting valuable insights and knowledge from unlabelled data in a business context. Unlike supervised learning, which relies on labelled data for training, unsupervised learning algorithms work with unstructured or unlabelled data to discover patterns, structures, or relationships that may not be immediately apparent. This unit explores various techniques and methodologies used in unsupervised learning to address specific business challenges and opportunities. It delves into applying these techniques to large and complex datasets, enabling businesses to make data-driven decisions and gain a competitive advantage.

Assessment

TaskTypeWeight
1 - ExerciseExercise20%
3 - Quiz / TestQuiz / Test10%
5 - ProjectProject40%
4 - ArtefactArtefact20%
2 - PresentationPresentation10%

When and where

Teaching periodCampusMode
Second semesterMalaysiaOn-campus
First semesterMalaysiaOn-campus