https://d2l.ai/chapter_appendix-mathematics-for-deep-learning/maximum-likelihood.html

Thanks for the explanation of how it works for continuous random variables. I wonder about the maximizing the product of the sample probabilities. Is that maximizing for the samples in a specific given order? It seems for samples in any order it should be the product multiplied by n!. However n! is a constant is the minimization problem is the same.

Hi, not sure about your question but the order doesnâ€™t matter