Именно та лекция в курсе, которую стоит посмотреть, даже если на весь курс не хватило времени:) Превосходная лекция, превосходный лектор.
@HajjAyman12 жыл бұрын
Your enjoyment of the subject matter shows on your face! I can't blame you; it's a very fascinating subject. Thanks for making it easy to understand.
@QingkaiKong10 жыл бұрын
Thanks for the great lectures. I like this saying 'if you torture the data long enough, it will confess'
@brainstormingsharing13093 жыл бұрын
Absolutely well done and definitely keep it up!!! 👍👍👍👍👍
@MrCmon1134 жыл бұрын
44:30 I'm not bad with money, I'm a support vector for credit approval.
@mudafaaedilecekbırseyyok Жыл бұрын
hahaahahahahaha
@kritikseth4 жыл бұрын
around a million students started this course, but only 70k students finished it.
@acgalt3 жыл бұрын
The Occam's razor trimmed them away...
@AndyLee-xq8wq Жыл бұрын
great! tho I'm still not very clear with reuse of dataset
@rachelshitrit8 жыл бұрын
hi, did somebody understand why the is the growth function in the postal cram equal to 1?
@ksawery65688 жыл бұрын
To us it appears as though we have the perfect hypothesis. There is only one possible dichotomy for any N samples (extremely simple model), and its the one that predicts the results of the game. In actuality, the hypothesis is completely random, so it could generate any dichotomy just by chance. So actually the growth function is equal to the number of possible dichotomies, 2^N.
@josejoelmartinezcardoza8926 Жыл бұрын
Son pocos mis comentarios porque no se inglish pero mientras sea tecnología megusta
@brainstormingsharing13093 жыл бұрын
👍👍👍👍👍👍👍
@pascal456786 жыл бұрын
what does VC stand for?
@laurin15106 жыл бұрын
vapnik chervonenkins, the guy that extended höfdings inequality for the general case with multiple hypothesis.
@MrCmon1134 жыл бұрын
@@laurin1510 Vapnik and Chervonenkins are two people. 😂
@movax20h8 жыл бұрын
8:55, about Occam's Razor. It is not quite correct. The Occam's Razor principle, is that the model with smallest number of assumptions about data and real behavior of unseen data is most plausible. "Entities must not be multiplied beyond necessity" (Non sunt multiplicanda entia sine necessitate). Or Numquam ponenda est pluralitas sine necessitate [Plurality must never be posited without necessity]. The princple is much older than the Occam, but he was the one to popularise it in the west in more formal way. That doesn't mean that the model must be the simplest. If the model is more complex, but have less assumption, and it fits the data, it is better.
@Bing.W6 жыл бұрын
Here "simpler model" refers to "less assumptions", hence no need to repeat the tautology.