As part of the first semester of the MSc Computer Science (Artificial Intelligence) course at the University of Nottingham, I took the Machine Learning course. This course looked a variety of machine learning concepts used heavily used within todays world, including ANN, Decision Trees, SVM and much more. This course was heavily reliant on mathemathics and was proboably the most challenging module I took over the whole Masters, but definitely worthwhile as learning how the AI we use daily works is extremely facinating.
Use advanced machine learning methods to predict PCR (classification) and RFS (regression) using both clinically measured features and features derived from magnetic resonance images (MRI) prior to chemotherapy treatment.
For this project, I collaborated with Sylwia Sajdak, Effie Menzies, Ceren Dinc and Dominic Binks to implement Machine Learning techniques.
While revising for this modules test, I created a document detailing all that I learnt during the course. If you are looking for more details, please feel free to have a browse: