skzv

Cool, I worked on indoor localization, particularly with RTT, at Google for many years :)

I took "Mathematical Methods for Quantitative Finance" from edX, which covered these topics, and found it really rewarding.

From the wiki article:

> Scholars believe that the Novgorod Republic had an unusually high level of literacy for the time, with literacy apparently widespread throughout different classes and among both sexes.

Yes, you are totally correct, but I believe this term is omitted from the cross-entropy loss function that is used in machine learning? Because it is a constant which does not contribute to the optimization.

Please correct me if I'm wrong.

To bring things full circle: the cross-entropy loss is the KL divergence. So intuitively, when you're minimizing cross-entropy loss, you're trying to minimize the "divergence" between the true distribution and your model distribution.

This intuition really helped me understand CE loss.

I was concussed and suffered from persistent headaches for 2 years.

It was really tough. I was suicidal. My only reprieve from pain was falling asleep.

I saw a neurologist and he told me that two most important things for your brain are:

- consistent sleep schedule

- regular exercise

Once I got those two under control, the headaches finally went away.