Small-group teaching for LSE’s ST310 Machine Learning, focused on the concepts, problem sets, data exercises and exam-style questions covered in the module.
Study alongside other ST310 students with an experienced university tutor.
Develops core machine-learning methods for high-dimensional and large datasets. Students study regression and classification, regularisation, cross-validation, variable selection, trees, random forests and other modern predictive techniques.
Our ST310 group sessions are designed to make the module feel more manageable. Sessions can focus on clarifying lecture material, rebuilding foundations, working through problem sets, data exercises, coding tasks and exam-style questions, and developing a clearer strategy for revision and assessed work.
Because everyone in the group is studying the same LSE module, sessions stay closely focused on the particular methods, notation and types of question students encounter in ST310.
Working in a small group also gives students the opportunity to see how others approach the same problem and to learn from questions they may not have thought to ask themselves.
The aim is not simply to work through solutions, but to make sure students understand the methods well enough to apply them independently.
The precise content of each session can be adapted to what the group is currently covering at LSE.
Sessions are held online and are focused exclusively on students taking the same LSE module.
Our ST310 tutors include experienced university teachers and subject specialists. For group sessions, we select a tutor suited to the particular module and the areas students want to cover.
See one-to-one tuition for ST310Tell us what you are currently covering in Machine Learning and which areas you would like help with. We will let you know about suitable upcoming ST310 group sessions.
Enquire about ST310 group sessions