Dr Stefan Zohren
Stefan's research is focused on applied machine learning in finance, collaborating at the OII with research machine learning and financial news networks.
Machine learning algorithms can discover patterns and hidden structure in data and use these for prediction of future data. This course covers the fundamentals of both supervised and unsupervised learning. Machine learning has many applications in the social sciences and is considered a key data science method. Applications include clustering documents and latent attribute inference (trying to infer demographics, personality traits, or other attributes about a person from behavioural data).
At the end of this course students will…
There will be two small projects (one in each week of the course), and the summative assessment will be a report on these projects including the computer code written by the student. In both instances, students will be supplied a dataset and tasks to accomplish. The first project will involve clustering and/or regression, and the second Gaussian Processes or neural networks.
Students will complete afternoon lab sessions and have immediate feedback from TAs (in addition to seeing whether their output matches the correct output supplied)