BUSINFO 707 - Digital Machine Learning
Faculty
Business and Economics
Department
Graduate School of Management
Points:
15
Available Semesters:
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Course Components
Labs
Tutorials
Lectures
Exam
TBLs
Workshops
Description: Synthesises academic marketing research findings with previously taught knowledge about analytics, the digital channel, marketing planning and practice in order to attain marketing strategic goals. Enables students to critically and independently evaluate alternative analytics and machine learning techniques and apply these insights to formulating solutions to challenges involving, for example, web scraping, network analyses, google analytics and machine learning techniques such as text mining and cluster analysis.
Prerequisites / Restrictions
Prerequisite: BUSINFO 704
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