1. Understanding Bayes' Theorem
Bayes' Theorem provides a way to revise existing predictions or theories (update probabilities) given new or additional evidence. It is foundational in statistics and machine learning.
P(A | B) = [ P(B | A) × P(A) ] / P(B)
2. Applications
Bayes' theorem is widely used in medical testing (e.g., probability a patient has a disease given a positive test result), spam filtering in emails, and risk assessment in finance.
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