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

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

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Information Technology (IT), Architecture

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The video tutorial explains the difference between discrete and continuous probability models. Discrete models have countable sample spaces, allowing positive probabilities for single outcomes. In contrast, continuous models have uncountable sample spaces, making it impossible to assign positive probabilities to single elements due to the additivity axiom. An example using a dart game on a unit circle illustrates this concept. The video concludes by highlighting the need to assign probabilities to intervals in continuous models and previews the next topic on conditional probabilities.

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OPEN ENDED QUESTION

3 mins • 1 pt

What new insight or understanding did you gain from this video?

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