Conditional probability measures the probability of A given that B has occurred.
What Is Conditional Probability?
Conditional probability measures the probability of A given that B has occurred.
Examples of Conditional Probability
1
P(A|B)=P(A∩B)/P(B).Formula and Key Points
Formula / rule
P(A|B)=P(A∩B)/P(B)
- Know the definition and standard notation for Conditional Probability.
- Be able to recognise or compute conditional probability in a small example.
- Connect the concept to nearby topics in the same subject before using it in larger CSE problems.
Why This Matters in Computer Science
Used in randomized algorithms, artificial intelligence, reliability, networking, security and data science. Used in Bayesian models, diagnostics, spam filtering and probabilistic inference.
Related Math Terms
Conditional Probability: Frequently Asked Questions
What is Conditional Probability?
Conditional probability measures the probability of A given that B has occurred.
Why is Conditional Probability useful in computer science?
Used in randomized algorithms, artificial intelligence, reliability, networking, security and data science. Used in Bayesian models, diagnostics, spam filtering and probabilistic inference.