Key Points

This is the author’s interpretation, so please point out any mistakes!

• Probability from a Bayesian perspective: a concept of predicting future ‘possibilities,’ that is, future uncertainty, based on existing evidence (clues that have already occurred, expressed as probabilities) and a hypothesis(). (Induction) -> Existing: interpreting phenomena based on the frequency of observations for specific events (deduction)

• Evidence: new information, a clue

• Hypothesis(prior, prior probability): a claim that an event has occurred

• posterior(posterior probability): the probability that H is updated when E (new information) comes in (this is used to predict the future)

-> Confidence in my claim before and after observing the evidence

Definition of Bayes’ Theorem

• Bayes’ theorem: a method of updating the confidence in a claim that an event has occurred (the possibility of the future being predicted) based on new information

Gongdol-i’s Math Notes’ GOAT interpretation