(ML 10.1) Bayesian Linear Regression
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14:53
(ML 10.2) Posterior for linear regression (part 1)by mathematicalmonk569 views- 8:06
(ML 14.3) Markov chains (discrete-time) (part 2)by mathematicalmonk2,508 views
- 14:51
(ML 16.6) Gaussian mixture model (Mixture of Gaussians)by mathematicalmonk1,836 views
- 14:23
(ML 12.1) Model selection - introduction and examplesby mathematicalmonk482 views
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(ML 7.2) Aspects of Bayesian inferenceby mathematicalmonk1,114 views
- 14:22
(PP 6.1) Multivariate Gaussian - definitionby mathematicalmonk1,612 views
- 16:54
(ML 18.7) Metropolis algorithm for MCMCby mathematicalmonk1,140 views
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(ML 8.1) Naive Bayes classificationby mathematicalmonk2,545 views
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(ML 12.6) Cross-validation (part 2)by mathematicalmonk487 views
- 11:03
(ML 15.4) Logistic regression (binary) - formalismby mathematicalmonk789 views
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(ML 9.1) Linear regression - Nonlinearity via basis functionsby mathematicalmonk577 views
- 5:09
(ML 7.3) Proportionalityby mathematicalmonk507 views
- 13:44
(ML 2.3) Growing a regression tree (CART)by mathematicalmonk1,468 views
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(ML 15.6) Logistic regression (binary) - computing the Hessianby mathematicalmonk558 views
- 13:36
(ML 13.13) How to use D-separation - illustrative examples (part 2)by mathematicalmonk979 views
- 14:47
(ML 4.1) Maximum Likelihood Estimation (MLE) (part 1)by mathematicalmonk6,805 views
- 13:29
(ML 14.1) Markov models - motivating examplesby mathematicalmonk5,618 views
- 14:43
(ML 14.2) Markov chains (discrete-time) (part 1)by mathematicalmonk5,643 views
- 13:33
(ML 11.5) Bias-Variance decompositionby mathematicalmonk588 views
- 14:53
(ML 8.5) Bayesian Naive Bayes (part 3)by mathematicalmonk431 views
Great stuff, thanks for the effort!
Epistemophilos 1 month ago
excellent! dont sell bayesian models short though! they are good for many more reasons :)
handdancin 5 months ago