Course notes - COMP5328 (Advanced Machine Learning)

COMP5328: Advanced Machine Learning taught by Dr Tongliang Liu was a rather grueling expedition into the theoretical side of machine learning. The course formalised, with much more mathematical rigour, alot of the concepts I had previously encountered. I published my notes from the 2022 version of the course on GitHub for future students to look at.

View course notes at comp5328-machine-learning.

Skills Gained

• using fundamental principles to choose the best machine learning method for a particular dataset and task
• theoretical understanding of
  • loss functions
  • convex optimisation
  • hypothesis complexity and generalisation
  • dictionary learning
  • sparse coding
  • domain adaptation and transfer learning
  • reinforcement learning
  • causal inference
  • multi-task learning