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

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

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Information Technology (IT), Architecture

University

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The video tutorial discusses the concept of dependent events in probability and how they can become conditionally independent when conditioned on a third event. It provides an example involving three events, A, B, and C, where A and B are initially dependent. The tutorial explains the probability conditions that define this dependency and demonstrates how conditioning on event C can lead to conditional independence between A and B.

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2 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

Discuss the significance of the probability of the intersection of two events in determining their dependence.

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

Define what is meant by 'conditionally independent' events.

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