Відео

You're awesome !

very nice video!

Thanks so much for this great video. It helped a lot

Thanks so much brother! I was struggling with this so much. I am following NNs from scratch book by Sentdex and I was stuck at the derivative of softmax because I was not able to understand the notations. Now, I understand that the j=k is referring to the diagonal elements of the gradient matrix :) Thanks

Dear David. I want to create generator that will give me the random value - lifespan of healthy human. So we can call it “Gompertz distribution” generator. I need it for learning purpose. So the random lifespan =e^(b0+E). b0= const, E -random value of extremal distribution. Which value of b0 you can recommend? Can you also advise the way for creating extremal distribution generator? I have a ready-made normal distribution generator. It can be used to make an extreme distribution generator. You need to take a sample of size n and take a smaller number from it. Am I right? Which mean and sigma of the normal distribution generator should I take? And what is the sample size to take?

You are the best. Thank you very much for all your course I really enjoy watching each of them.

for question2, if a1=Wa0, the columns of W can learn something during training and become different but the rows of W are the same to each other

Pandas should be included in base Python. Any language that wants to call itself worthy of data analytics has to have a built-in dataframe data structure.

Bro you’re so good, thanks man!

Ah! Finally a good and to the point explanation after searching so much on UA-cam. Thankyou! You have a new subscriber now.

Beautiful presentation. So clear and informative!

There are some mistakes in your notes

I love this, thank you! Very clear explanation.

Thanks for introducing GAM, need you watch several times to understand

Gauss didn't invent the linear model; he just claimed to a decade after someone else had. The same is true for Gaussian elimination. Newton invented it, and then Gauss decided to name it after himself.

Loving the spline / GAM series, thank you!

First, the conflict did not begin on October 7th. You have been oppressing Palestinians since your illegal occupation, starting with the massacre of Karbala. You take pride in the killing of thousands of children since then. You even bombed a civilian camp where you told people to go to suffer less, only to slaughter them in the middle of the night. How dare you, coward.

Very clear and concise! Looking forward for the follow up video

So much information compiled together wonderfully in this video.Hope you come up with more such videos on individual methods with some examples.

IMHO, symmetrical or not, the mean is still your expected value. If you want to minimise error, you can only work with the expectation, since that's what you can expect. If you optimised for something else, you may use the mode or whatever else that fits the optimization.

What is the difference between denoting p_theta (x|z) vs p(x|z,theta) ?

Just wanted to say Thank You !!! Very well explained & so much intuitive 👍

at 3:30 , i dont understand why ez1 + ez2 + ez 3 = 1 can someone please explain? thanks

Great vid. Can you please share that notebook ?

for question 1 : it won't be a problem and the network will learn normally because the inputs to the neurons will not be zero or constant since we initialized the weights to be random so the biases will get updated normally. for question 2 : since the inputs to the network are different the deriviative of the output with respect to the wight will not be constant or zero so this weights in the first layer(input) will be updated normally.

Thnak you so much , very good explanation

This video is everything I asked for! Thank you so much, Meerkat!

thank u so much brother

thanka man

do you have any more tips and tricks for regular linear models?

very useful video for practitioners

many thanks for the lecture. we all the time need to know how the factors are calculated from the variables. but how come the factors and their loading can be calculated given that the only given data is the variables? x1=l1f1 + l2f2 + l3f3

Islam always brings hate and war!!

Wow, will you cover nested logit model? And relationship with gev or vglm

Thank u so much!

I was always perplexed by the two different views of seeing linear regression as a fixed viewpoint and a random viewpoint. Now everything is clear: the two viewpoints correspond to the OLS and MLE methods. What a wonderful explanation you provided!

It is the best lecture that I have watched on UA-cam. Thanks.

When I run the code with corstr = "AR-M", Mv=1, it shows error message "VC_GEE_covlag: arg has > MAX_COVLAG rows". I don't know why it is

Le monde made a great video too : 60 % des écoles, hôpitaux et mosquées détruits ou endommagés. There are subtitles

ua-cam.com/video/soQ-VlaHt88/v-deo.html

Hi! Really helpfull video, I loved it. However, I still don´t really undertand how the AFT model works. I desperately need to comprehend it because I am doing a proyect about it and I have to finish it in order to finish my degree. Could we contact somehow in order for you to explain me the model? I am Spanish so sorry if there are spelling mistakes. Thank you very much!

Could you please tell me if there is a mistake in the notation? @8:26 z_{i} = z_{l}?

Imagine thousands of people in your time being killed and people put out videos like this trying to justify those killings as not being a big deal enough to be considered within their benchmark of what's considered a genocide or not.

So good, I am familiar with 20% here. Probability, Statistics,Algebra of Random Variables, and Time Series Analysis.

Thanks for speaking facts.

Radical islam is always a trouble, the basic point is - Israel has a right to defend themselves, war is inevitable if the atrocity as for this particular war started by Hamas. So why cant they defend themselves?

Is this video actually real?

😂😂😂- Joker or just Inhumane

I agree that you are the hero’s of false justifications

🥱🥱