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


Maybe we can get in touch, I am curious to have a more senior perspective on the indoor localization!


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


Same!


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.


I read that too and I was surprised, but then the first thing that popped into my mind was that this is probably a case of survivorship bias


Ah, I missed that important bit.


I bought my father a RM-BIV3 ribbon microphone [0] to record violin. It's a beautiful piece.

[0] https://micpedia.com/microphone/bashaudio-rm-biv3/


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.


Cross-entropy is not the KL divergence. There is an additional term in cross-entropy which is the entropy of the data distribution (i.e., independent of the model). So, you're right in that minimizing one is equivalent to minimizing the other.

https://stats.stackexchange.com/questions/357963/what-is-the...


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.


Increasing efficiency often causes an increase in consumption, not less [0]

[0] https://en.wikipedia.org/wiki/Jevons_paradox


Except for when it doesn't. E.g. lightbulbs are now 20x more efficient than in my childhoos. But I certainly don't use >20x more light(bulbs). In fact, I'm quite sure it's 1x.


You probably have LEDs in everything though.


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.


The Vice documentary mentioned in the article is really great [0].

Best of luck to Agafia.

[0]: https://www.youtube.com/watch?v=tt2AYafET68


I exploited one of these regional naming conventions so that I only have a first name on Facebook.


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