Data Science and Machine Learning (Theory and Projects) A to Z - Probability Model: Probability Models More Examples

The video tutorial introduces probabilistic modeling through a doctor's predictions about patients having malaria or typhoid. It explains how to calculate the probability of a patient having neither disease using set theory and probability axioms. The tutorial concludes with a brief introduction to continuous probability models, setting the stage for the next video.

Explain the use of set theory in determining the probability of having neither disease.

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What is the final calculated probability that the next person will be neither affected by malaria nor typhoid?

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What are the axioms of probability used in this example?

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