AI engineering glossary · Probability
What is poisson process?
Poisson process: A model for events occurring randomly over time at a constant average rate, in which counts in separate intervals are independent and the gaps between events follow an exponential distribution. It is used for arrivals such as requests to a server.
Poisson process: an example
If requests arrive at 2 per second on average, the number in 10 seconds is Poisson with mean 20 and gaps average 0.5 seconds.
Related terms
More Probability terms
- Population
- Posterior probability
- Prior probability
- Probability
- Probability axioms
- Probability density function
- Probability distribution
- Probability mass function
Where you learn it
Poisson process is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.