|1.||Contextualise issues of business data to develop ML and AI solutions for improving business decisions in contemporary organisations;|
|2.||Justify the selection, assessment, design, integration, and formation of data models effective to ensure appropriate visualisation and prediction that contribute to meet business needs;|
|3.||Critically review the selection and application of industry focused data processing approaches and solutions; and,|
|4.||Appraise and communicate appropriate AI and ML solutions based analytics implementation in organisations and authenticate recommendations with reference.|
|Test||A range of machine learning exercises based on solving business problems in the software environment.||25%|
|Assignment||Dataphone: a Kaggle style data competition to build and evaluate a ML solution and presentation - Group||35%|
|Report||Based on a real-world scenario develop and apply major models and algorithms for machine learning||40%|
Where to next?
As part of a course
This unit is studied as part of the following courses. Refer to the course page for information on how to apply for the course.
You can choose to study this unit as part of the following courses. Refer to the course page for information on how to structure your course to include this unit.
|Course||Study as part of|
|Graduate Diploma in Business||Business Analytics and Visualisation - Specialisation|
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