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Unsupervised Learning Course OLD Web Page
https://mlg.eng.cam.ac.uk/zoubin/course03/index.html27 Jan 2023: David MacKay's Book, Chapters 20, 22 and 23 on k-means and MoG. ... Max Welling's Class Notes on PCA and FAOct 20 and 23. -
Machine Learning 4f13 Lent 2009
https://mlg.eng.cam.ac.uk/teaching/4f13/0809/19 Nov 2023: Jan 20, 23. Unsupervised learning (2L): factor analysis, PCA, the EM algorithm. ... Feb 17, 20. Variational approximations (2L): KL divergences, mean field, expectation propagation. -
Unsupervised Learning Course Web Page
https://mlg.eng.cam.ac.uk/zoubin/course05/index.html27 Jan 2023: Suggested Further Readings:. David MacKay's Book, Chapters 20, 22 and 23 on k-means and MoG. ... Hard copies will be made available in class. Max Welling's Class Notes on PCA and FAOct 17 and 20. -
Machine Learning 4f13 Lent 2014
https://mlg.eng.cam.ac.uk/teaching/4f13/1314/19 Nov 2023: Jan 16, 20. Introduction to Machine Learning(2L):. the concept of a model, linear in the parameters regression: makaing predictions, least squares fit, overfitting. ... Feb 3, 6, 10, 13. Probabilistic Ranking. Feb 17, 20, 24, 27, Mar 3, 6. -
Statistical Approaches to Learning and Discovery Course Web Page
https://mlg.eng.cam.ac.uk/zoubin/SALD/27 Jan 2023: Course Web Page. Time: Mondays and Wednesdays 1:00 pm - 2:20 pm. ... Week 10 /11 (March 18, 20, 25, 27). Latent Variable Time Series Models. -
Machine Learning 4f13 Lent 2008
https://mlg.eng.cam.ac.uk/teaching/4f13/0708/19 Nov 2023: Feb 20, 22. Variational approximations (2L): KL divergences, mean field, expectation propagation. -
Learning Theoretic and Bayesian Inductive Principles
https://mlg.eng.cam.ac.uk/zoubin/LTBIP/schedule.html27 Jan 2023: Online Prediction - Bayes versus Experts 7:00 dinner ---------------------------------------------------------------------------------------------------- Day 2 - Tuesday 20 July 9:00 - 10:30 John Langford The precise role of "bias" or "prior" in -
Machine Learning 4f13 Lent 2012
https://mlg.eng.cam.ac.uk/teaching/4f13/1112/19 Nov 2023: Jan 26, 30 and Feb 2nd. Gaussian processes (3L):. Feb 6, 9, 13, 16 and 20. -
Machine Learning 4f13 Lent 2011
https://mlg.eng.cam.ac.uk/teaching/4f13/1011/19 Nov 2023: LECTURE SYLLABUS. Jan 20 . Introduction to Machine Learning(1L): review of probabilistic models, relation to coding terminology: Bayes rule, supervised, unsupervised and reinforcement learning. -
Bioinformatics
https://mlg.eng.cam.ac.uk/zoubin/bioinf.html27 Jan 2023: Bioinformatics, 20: 1361-1372. Bourne, P.E., Allerston, C.K.J, Krebs, W., Li, W, Shinyalov, I.N., Godzik, A., Friedberg, I., Liu, T., Wild, D.L., Hwang, S., Ghahramani, Z.,
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