3. Probability in AI

Unit 3 1 Introduction

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Unit 3 2 Probabilities

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Unit 3 2a Answer

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Unit 3 2b Question

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Unit 3 2c Answer

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Unit 3 2d Question

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Unit 3 2e Answer

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Unit 3 2f Question

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Unit 3 2g Answer

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Unit 3 2h Question

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Unit 3 2i Answer

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Unit 3 2j Summary

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Unit 3 3 Dependence

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Unit 3 3a Answer

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Unit 3 4 What We Learned

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Unit 3 5 Weather Quiz

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Unit 3 5a Answer

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Unit 3 5b Question

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Unit 3 5c Answer

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Unit 3 5d Question

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Unit 3 5e Answer

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Unit 3 6 Cancer Quiz

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Unit 3 6a Answer and Cancer Test

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Unit 3 6b Answer

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Unit 3 6c Answer

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Unit 3 6d Question

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Unit 3 6e Answer

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Unit 3 7 Bayes Rule

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Unit 3 7a Bayes Rule Graphically

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Unit 3 7b Answer

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Unit 3 8 More Complex Bayes Networks

At 1:23, Sebastian means to say it is the numerator, not the normalizer.

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Unit 3 8a Two Test Cancer Example

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Unit 3 8b Answer

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Unit 3 8c Question

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Unit 3 8d Answer

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Unit 3 9 Conditional Independence

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Unit 3 9a Answer

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Unit 3 9b Question

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Unit 3 9c Answer

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Unit 3 9d Absolute vs Conditional Independence

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Unit 3 9e Answer

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Unit 3 10 Different Type of Bayes Network

The explanation video is here: http://www.youtube.com/watch?v=VsesDjAIMmU

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Unit 3 10a Answer

Unit 3 11 Explaining Away

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Unit 3 11a Answer

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Unit 3 11b Question

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Unit 3 11c Answer

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Unit 3 11d Question

The video says 14% rather than 1.4% and 18% rather than 1.8%.

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Unit 3 11e Answer

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Unit 3 11f Conclusion

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Unit 3 12 General Bayes Networks

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Unit 3 12a Answer

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Unit 3 12b Question

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Unit 3 12c Answer

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Unit 3 12d Question

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Unit 3 12e Answer

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Unit 3 12f Value of the Network

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Unit 3 13 D-Separation

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Unit 3 13a Answer

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Unit 3 13b D-Separation Example

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Unit 3 13c Answer

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Unit 3 13d D-Separation General Definition

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Unit 3 13e Answer

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Unit 3 14 Congratulations

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