Cambridge Lectures

Maths

part-iii-continuum-mechanics-courses

• Fluid Dynamics of the Climate [24 lectures, Michaelmas]
• Fluid Dynamics of the Environment [24 lectures, Lent]

part-iii-statistics

• Topics in Statistical Theory [16 lectures, Michaelmas] includes extreme value theory
• Causality [16 lectures, Michaelmas]

Engineering

iib-engineering-courses

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.