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I just read about Cross-entropy cost function for my work. and I see a notation that said "the minimization of cross entropy of some data is equal to maximization of their log likelihood." How can I achieve this result? How can I show that?

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    $\begingroup$ It would help to edit your question to provide additional context. I suggest providing a full citation for where you read it, and summarizing the context. It's not clear what you mean by "minimizing the cross entropy of some data"; if the data is fixed, there is nothing to minimize. $\endgroup$
    – D.W.
    Nov 3 '19 at 19:50
  • $\begingroup$ stats.stackexchange.com/q/364216/2921 $\endgroup$
    – D.W.
    Feb 17 at 1:28

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