Cambridge Lectures - ai4er-cdt/resources GitHub Wiki
Maths
part-iii-continuum-mechanics-courses
- Fluid Dynamics of the Climate [24 lectures, Michaelmas]
- Fluid Dynamics of the Environment [24 lectures, Lent]
- Topics in Statistical Theory [16 lectures, Michaelmas] includes extreme value theory
- Causality [16 lectures, Michaelmas]
Engineering
Definitely relevant:
- Deep Learning & Structured Data [16 Lectures, Michaelmas]
- Probabilistic Machine Learning [16 Lectures, Michaelmas]
- Computational Statistics & Machine Learning [16 Lectures, Michaelmas]
Possibly relevant:
- Computer Vision [16 Lectures, Michaelmas]
- Practical Optimisation [16 Lectures, Michaelmas]
- Climate Change Mitigation [14 Lectures, Michaelmas] - seems like useful background knowledge
Maybe relevant, but probably not (see notes):
- An Optimisation Based Approach to Control [16 Lectures, Lent] - has a minute amount about RL in it and would require you to know quite a lot about the maths behind systems & control, so probably not worth it.