diefimov / MTH594_MachineLearning

The materials for the course MTH 594 Advanced data mining: theory and applications (Dmitry Efimov, American University of Sharjah)
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Explanation of (1.3) #1

Closed denkorzh closed 7 years ago

denkorzh commented 7 years ago

Page 14 of lectures, formula (1.3).

Possibly it would be useful to explain that we do not consider $p( x^{( i )} | \theta )$ because actually it equals $p( x^{( i )} )$ since $x^{( i )}$ doesn't depend on $\theta$ and therefore this term has no sense in the problem of maximization

diefimov commented 7 years ago

Corrected.