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2 cards from this section. Quick, good the night before a test.
What is the basic definition of probability?
Think of it as measuring the likelihood of events.
Name one application of probability in AI.
Consider areas where decisions need to be made based on data.
What does probability help AI to handle?
Think of situations where the outcome isn't clear.
True or False: Probability is unnecessary for AI applications like spam filtering.
Remember how spam filters decide based on likelihood.
A company wants to improve its spam filter using historical email data. Explain the steps they should take using probability to optimize their filter's performance.
Think of how you can leverage features and continuously refine your model.
Explain a real-world scenario where probability can significantly impact decision-making in AI, like in financial systems or healthcare, and outline how you would approach this.
Consider the importance of data integrity and model accuracy in your approach.
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