With fast growth of the modern digital economy, multi-quintillion bytes of data is generated every day. This provides an enormous opportunity and a significant challenge for marketers to extract marketing insights because of not only the size of the data, but also the structure of the data. A growing proportion of the data is unstructured, such as customer emails and texts, mobile data, social media UGCs, C2C data on two-sided platforms in the sharing economy. Traditional marketing research methods cannot be used to solve these problems. This unit introduces state of the art machine learning methods to help marketers extract consumers insights from big data including structured and unstructured data and make better informed business decisions.
|Unit name||Machine Learning in Marketing|
|Semester 1, 2021|
|Attendance mode||Normal day|
|Available to study abroad and exchange students||
Teaching staff and contact details
|Coordinator||Steven Lu, firstname.lastname@example.org|