Would be good to see a comparison with European census practices, which instead evolved to use no field surveys and instead perform all the statistics based on the data on interconnected government information systems.
If it's still relevant, I'll try to help. This is called maximum likelyhood estimation, which is the product of the estimated probabilities on the training dataset. As derivative of product is not easy to work with, we take a log of this, so this yields the sum of logs. As log is a monotonous function it doesn't change the local minimum and is easier to take the derivative of. Hope it helped
you can use traditional econometric tools as well ( as it was formerly known as 'econometrics', and not ' data science') btw when i see the questions regarding time series on AI forums, i have absolutely no doubt that nobody will get what a garch process is, neither a garch-m ( which was developped, as i can remember it... by andrew ng) cheers
Well well well another prodigy from stanford that has made a.i more complicated and sophisticated for the better good of humanity 😔... Isnt GAN whats CONDUCTING the war now lol 😂. I remember movie WARGAMES
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@@kanishktantia7899 just watch a couple of videos on this, derive the min-max loss atleast once on paper. See a basic implementation of GAN from scratch. I was doing it just for making a ppt on a research paper (StyleGAN2), so this was more than enough for me. Same goes for any other topic in DL. I was just dipping my feet in the deep sea of DL, i ain't touching it again.
@@ruchirjain1163 I graduated last year, working these days.. not enrolled currently at any university..I'm looking for that only. Any lab or any university in US or maybe somewhere else.
At 10:52 back in the day when I was in form two secondary school; our Math teacher challenged us to find integer x in the equation: 2^2 + 3^2 = x^2. I wish I knew Fermat's last theorem. I never forget that equation!
We're talking about a guy that says he invented "generative adversarial networks", when the paper clearly mentions 7 other people, university staff and more working on the project. Of course he's gonna talk like that.