Seonglae ChoBayesian reasoning, Bayesian machine learning, Bayesian approach
The main object of Bayesian inference is finding Posterior Predictive Distribution
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
Bayesian inference Notion
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
