# Department of Computer Science and Technology – Course pages 2025–26: Machine Learning and Bayesian Inference – Course materials

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Department of Computer Science and Technology
[Machine Learning and Bayesian Inference](https://www.cl.cam.ac.uk/teaching/2526/MLBayInfer/)
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Course pages 2025–26
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# Machine Learning and Bayesian Inference
  * [Syllabus](https://www.cl.cam.ac.uk/teaching/2526/MLBayInfer/)
  * [Course materials](https://www.cl.cam.ac.uk/teaching/2526/MLBayInfer/materials.html)
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  * [Information for supervisors](https://www.cl.cam.ac.uk/teaching/2526/MLBayInfer/supervisors/)


Lecture notes as slides:
  * In [colour](https://www.cl.cam.ac.uk/teaching/2526/MLBayInfer/ml-bayes-2026-colour.pdf).
  * In [monochrome](https://www.cl.cam.ac.uk/teaching/2526/MLBayInfer/ml-bayes-2026-bw.pdf).


Lecture notes, four per page:
  * In [colour](https://www.cl.cam.ac.uk/teaching/2526/MLBayInfer/ml-bayes-2026-colour-4up.pdf).
  * In [monochrome](https://www.cl.cam.ac.uk/teaching/2526/MLBayInfer/ml-bayes-2026-bw-4up.pdf).


Problem Sheet:
  * [Problem sheet](https://www.cl.cam.ac.uk/teaching/2526/MLBayInfer/mlbi-ex-2026.pdf).


Additionally, there is a [handout on basic probability](https://www.cl.cam.ac.uk/teaching/2526/MLBayInfer/mlbi-probability-handout.pdf) and a [handout on Gaussian integrals](https://www.cl.cam.ac.uk/teaching/2526/MLBayInfer/integral.pdf).
© 2025 Department of Computer Science and Technology, University of Cambridge  
Information provided by [Dr Sean Holden](https://www.cl.cam.ac.uk/~sbh11/) – [edit page](https://www.cl.cam.ac.uk/teaching/2526/instructions.html)
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