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Unsupervised Learning Course Web Page
https://mlg.eng.cam.ac.uk/zoubin/course05/index.html27 Jan 2023: M. (draft) Pattern Recognition and Machine Learning. Oct 24 and Oct 27. ... Nov 21 and Nov 24. Sampling and. Markov Chain Monte Carlo Methods. -
Machine Learning 4f13 Lent 2009
https://mlg.eng.cam.ac.uk/teaching/4f13/0809/19 Nov 2023: Feb 24. Model comparison (1L): Bayes factors, Occam's razor, BIC, Laplace approximations. -
paper.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/Gha01a.pdf13 Feb 2023: J> #. 6? 1. 'R. 4. &S. 2B. " S " ". R. 24. 6 1 ". 0 "Q ". " 1 " 2B 24. -
Unsupervised Learning Course OLD Web Page
https://mlg.eng.cam.ac.uk/zoubin/course03/index.html27 Jan 2023: Nov 24 and Nov 27. Sampling Methods. Monte Carlo:. simple Monte Carlo,. -
Machine Learning 4f13 Lent 2011
https://mlg.eng.cam.ac.uk/teaching/4f13/1011/19 Nov 2023: Feb 22, 24. Variational approximations (2L): KL divergences, mean field, expectation propagation. -
Machine Learning 4f13 Lent 2010
https://mlg.eng.cam.ac.uk/teaching/4f13/0910/19 Nov 2023: Feb 24, 25. Model comparison (1L): Bayes factors, Occam's razor, BIC, Laplace approximations. -
Statistical Approaches to Learning and Discovery Course Web Page
https://mlg.eng.cam.ac.uk/zoubin/SALD/27 Jan 2023: Week 14/15 (April 24, 29, May 1). Model Selection. Bayes Factors. -
Machine Learning 4f13 Lent 2014
https://mlg.eng.cam.ac.uk/teaching/4f13/1314/19 Nov 2023: Feb 3, 6, 10, 13. Probabilistic Ranking. Feb 17, 20, 24, 27, Mar 3, 6. -
https://mlg.eng.cam.ac.uk/teaching/4f13/1112/cw/mauna.txt
https://mlg.eng.cam.ac.uk/teaching/4f13/1112/cw/mauna.txt19 Nov 2023: 875 316.69 1962.958 317.70 1963.042 318.74 1963.125 319.08 1963.208 319.86 1963.292 321.39 1963.375 322.24 1963.458 321.47 ... 24 1964.458 321.89 1964.542 320.44 1964.625 318.70 1964.708 316.70 1964.792 316.79 1964.875 317.79 1964.958 318.71 1965.042 -
Engineering Tripos Part IB SECOND YEAR PART IB Paper ...
https://mlg.eng.cam.ac.uk/teaching/1BP7/1819/IBP7ex75.pdf19 Nov 2023: Reading 12-14 15-17 18-20 21-23 24-26 27-29 30-32Frequency 3 5 10 16 18 12 6.
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