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This slecture is under review by Lu Zhang. | This slecture is under review by Lu Zhang. | ||

+ | LZ Review: Your slecture is excellent. It definitely gives a good and fairly complete review of Bayes' rule. It is also very well organized, first the definition (What is Bayes' theroem), second the derivation (how to prove the correctness), then the detailed example and finally an introduction of Bayesian classification (more applications). | ||

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+ | LZ Comment1: I like your example for Bayes' rule. It is simple and typical problem of solving the posterior probability. It would also be interesting if you can give an example for the Bayesian classification in the last section, so people who have not seen this before would have an idea how a maximum posterior probability could be used for classification. | ||

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## Revision as of 13:01, 1 May 2014

Questions and Comments for:
**Derivation_of_Bayes_rule_In_Chinese**

A slecture by Weibao Wang

如果你有什么问题或建议，请在下面留言。

# 问题和建议

This slecture is under review by Lu Zhang.

LZ Review: Your slecture is excellent. It definitely gives a good and fairly complete review of Bayes' rule. It is also very well organized, first the definition (What is Bayes' theroem), second the derivation (how to prove the correctness), then the detailed example and finally an introduction of Bayesian classification (more applications).

LZ Comment1: I like your example for Bayes' rule. It is simple and typical problem of solving the posterior probability. It would also be interesting if you can give an example for the Bayesian classification in the last section, so people who have not seen this before would have an idea how a maximum posterior probability could be used for classification.