Presented by Dr Jingya Wang, a postdoctoral researcher in Computer Vision.
Machine learning involves computers discovering how they can perform tasks without being explicitly programmed to do so. This course provides a broad introduction to machine learning.
Topics include: (i) Supervised learning (classification, regression). (ii) Unsupervised learning (clustering, dimensionality reduction). (iii) Reinforcement learning .(iv) Semi-supervised learning. (v) Transfer learning.
The course will also give a brief overview of recent state of art deep learning techniques.