On-line learning
Material from formal education and workshops
Teaching material from Cambridge's formal education programmes are available for all to access. Some examples are gathered below:
- Cambridge Engineering/PartIA-Computing-Michaelmas
- Machine Learning and Bayesian Inference
- Machine Visual Perception
- Natural Language Processing
- Practical Research in Human-centred AI
- Probabilistic Machine Learning 4f13
Machine Learning and the Physical World, Advanced Data Science, Advanced topics in Machine Learning, DeepNN: Deep Neural Networks - and much more, all here provided by Professor Neil Lawrence.
Auditing courses: Some of the MPhil and PhD programmes above may be available to audit and as such their learning materials can be accessed. If this is of interest to you, you may wish to contact the programme lead.
Workshop material from previous events are available for all to access. Some examples are gathered below:
Modelling, Analysis and Inference for Digital Twins session as part of the The mathematical and statistical foundation of future data-driven engineering workshop, Isaac Newton Institute for Mathematical Sciences (2023).