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deepai.org | ||
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rpsychologist.com
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jaketae.github.io
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| | | | | So far on this blog, we have looked the mathematics behind distributions, most notably binomial, Poisson, and Gamma, with a little bit of exponential. These distributions are interesting in and of themselves, but their true beauty shines through when we analyze them under the light of Bayesian inference. In today's post, we first develop an intuition for conditional probabilities to derive Bayes' theorem. From there, we motivate the method of Bayesian inference as a means of understanding probability. | |
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strangeweather.wordpress.com
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| | | | | Probability is the only satisfactory way to reason in an uncertain world.Dennis Lindley An elementary notion in probability is Bayes' rule, named after the reverend Thomas Bayes, who probably did not discover it. Bayes rule is about flipping conditionals: if I know the probability of event A given that event B has occurred, what's the... | |
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akosiorek.github.io
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| | | Machine learning is all about probability.To train a model, we typically tune its parameters to maximise the probability of the training dataset under the mo... | ||
