Question: In a supervised learning framework, we have a dataset D = { ( x 1 , y 1 ) , ( x 2 , y

In a supervised learning framework, we have a dataset D={(x1,y1),(x2,y2),dots,(xn,yn)}. Prove/Disprove that minimization of cross-entropy loss with one-hot encoding is a special case of solving the maximum likelihood estimation.
In a supervised learning framework, we have a dataset D={(x1,y1),(x2,y2),dots,(xn,yn)}. Prove/Disprove

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