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current students

Webinars for students on Machine Learning fundamentals

Fundamental course on Machine Learning will be held in November. The course will cover Machine Learning concept and algorithm. Open source data mining software – Orange will be used as example how data analytics can be conducted via intuitive User Interface (UI) with drag and drop action with no coding required. There is no pre-requisite on coding knowledge, students from Faculty of Business (FB) and Faculty of Humanities (FH) are welcome to join.

Date: 3 Nov (Tue) & 5 Nov (Thu)
Time:

14:30 – 17:00

*Total of 5 hours
Platform for hosting the workshop: Online via Microsoft Teams/ Live event
Course Outline:
  • Introduction of Artificial Intelligence, Machine Learning and Deep Learning
  • Data Visualization using Orange
  • Data Preparation using Python
  • Business Modelling for Data Analysis
  • Supervised Learning and Unsupervised Learning
  • Classification: K Nearest Neighbors, Neural Network…
  • Clustering: K-means Clustering…
Medium of Instruction: English
Target Audience: RPg, TPg and Ug students
Registration: Interested research students and staff please register via this eForm