AI engineering glossary · Probability
What is dependent events?
Dependent events: Events where the occurrence of one changes the probability of the other. Their joint probability cannot be found by simply multiplying the separate probabilities; the conditional probability must be used.
Dependent events: an example
Drawing cards without replacement: after one ace is taken, the chance that the next card is an ace falls from 4/52 to 3/51.
Related terms
More Probability terms
- Discrete random variable
- Empirical probability
- Empirical rule
- Event
- Evidence
- Exhaustive events
- Expected value
- Exponential distribution
Where you learn it
Dependent events is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.