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

The video tutorial explains the concept of probability models, which involve designing a sample space and assigning probabilities to events. It discusses the role of probability laws in assigning non-negative numbers to events, representing confidence in outcomes. The tutorial provides examples of probability models, such as coin toss experiments, and highlights how different requirements can lead to different models. It concludes with a preview of the next video on probability axioms.

What happens to the probability law when the sample space changes?

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Discuss the implications of having multiple probability models for the same experiment.

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What are the restrictions or properties of the non-negative number called probability?

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