How does probability theory influence AI decision-making?
Probability theory is fundamental in AI as it helps in making informed decisions under uncertainty.
Can you give an example of how it's used in machine learning?
Sure! In machine learning, algorithms like Bayesian networks use probability to model uncertainty and make predictions.
What are some common probability distributions used in AI?
Common distributions include Gaussian, Bernoulli, and Poisson, each serving different types of data and applications.
How does Bayesian inference work in AI?
Bayesian inference updates the probability of a hypothesis as more evidence becomes available, allowing for dynamic learning.
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