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19 Nov 2023: There is no final exam. Time: 9:00 - 10:00 Mondays and 9:00 - 10:00 Thursdays.

19 Nov 2023: There is no final exam. Time: 8 double lectures on Fridays at 14:00 - 16:00.

19 Nov 2023: There is no final exam. Time: 16 lectures on Mondays at 14:00 - 15:00 and Thursdays 12:00 - 13:00, both in LT2.

19 Nov 2023: There is no final exam. Time: 16 lectures on Mondays at 9:00 - 10:00 and Tuesdays 9:00 - 10:00, both in LT1.

19 Nov 2023: There is no final exam. Format:This year the course will be delivered entirely online.

13 Feb 2023: Publications, Machine Learning Group, Department of Engineering, Cambridge. current group:. [former members:. [by year:. [Tameem Adel. George Nicholson, Marta Blangiardo, Mark Briers, Peter J Diggle, Tor Erlend Fjelde, Hong Ge, Robert J B Goudie,

27 Jan 2023: Topics for Machine Learning Quals. Foundations. Shannon's Source Coding Theorem. Bayes Rule. Dutch Books. Cox Axioms. Bayesian model comparison. Models. Factor Analysis / PCA. Independent Components Analysis (ICA). Mixture models / k-means. Hidden

13 Feb 2023: Our analysis highlights global partnerships (SDG 17) as a pivot in global sustainability efforts, which have been strongly linked to economic growth (SDG 8). ... However, if economic growth and trade expansion were repositioned as a means instead of an

13 Feb 2023: Publications, Machine Learning Group, Department of Engineering, Cambridge. current group:. [former members:. [by year:. [Gaussian Processes and Kernel Methods. Gaussian processes are non-parametric distributions useful for doing Bayesian inference

19 Nov 2023: This data has 2-D input and scalar output. Visualise the data, for exam-ple using mesh(reshape(x(:,1),11,11),reshape(x(:,2),11,11),reshape(y,11,11));