Bayesian inference

Bayesian reasoning, Bayesian machine learning, Bayesian approach

The main object of Bayesian inference is finding

statistical method that uses Bayes' theorem to update the probability of a hypothesis as more evidence becomes available

Instead of optimizing performance to find optimal parameters for a algorithm, Bayesian ML focus on probability distributions over all such parameters not only optimum, even given data is small.

do not directly estimate and choose exact

Just compute for every

Joint Probability and

Marginal Probability

Bayesian inference Notion

Posterior Predictive Distribution

Bayesian inference - Wikipedia

Bayesian inference is a method of statistical inference in which Bayes' theorem is used to update the probability for a hypothesis as more evidence or information becomes available. Bayesian inference is an important technique in statistics, and especially in mathematical statistics. Bayesian updating is particularly important in the dynamic analysis of a sequence of data.

https://en.wikipedia.org/wiki/Bayesian_inference

Bayesian inference

Bayesian reasoning, Bayesian machine learning, Bayesian approach

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