To learn more about Lightning: lightning.ai/ Support StatQuest by buying my book The StatQuest Illustrated Guide to Machine Learning or a Study Guide or Merch!!! statquest.org/statquest-store/

@bigbacktor

5 ай бұрын

Hi, i would like to buy the book in color. Does someone know if that is posible ? It seems to me that in amazon is in black and white and on Lulu is on color. Is that right ? I am from spain.

@statquest

5 ай бұрын

@@bigbacktor They are all in color. And there is a version that is translated into spanish if you are interested.

@bigbacktor

5 ай бұрын

@@statquest Thanks a lot!! BAM you just sold another book :)

@statquest

5 ай бұрын

@@bigbacktor Hooray!!! Thank you very much for supporting StatQuest! BAM! :)

You have been staying the course for a long, long time. It's not so easy ! Keep up the good work!

@statquest

6 ай бұрын

Thank you!

What you do is nothing short of a miracle! Immense gratitude

@statquest

6 ай бұрын

Thank you!

All visual learners are blessed by the great Josh Starmer!

@statquest

5 ай бұрын

Thank you! :)

this is freaking amazing! Would love to see more math lessons like this

@statquest

2 ай бұрын

Thank you!

World is a better place with Josh🎉

@statquest

6 ай бұрын

Thanks!

Best of the best. I'm really speechless now.

@statquest

15 сағат бұрын

Thank you!

Man u deserve a thousand times more subscribers

@statquest

3 ай бұрын

Thank you!

Could you please make a video about QLORA? ❤ You're our savior when it comes to understanding complex concepts, thank you man

@statquest

5 ай бұрын

I'll keep that in mind.

@TheTruthOfAI

4 ай бұрын

that would be lovely, perhaps LORA itself holds a strong glue potential across neural networks, will be looking forward for such amazing video

Wow, just the perfect video I was looking for! Loved all the Taylor references, and music puns.

@statquest

5 ай бұрын

Hooray!!! You're the first person to mention the Taylor references in a comment. BAM!!! :)

@varshinibalaji3535

5 ай бұрын

@@statquest I was looking for it, since you mentioned something with Taylor was coming soon, in one of my Linkedin Posts :) Plus, I've been reading a lot of academic papers lately, So needed a better context on matrix transformations to interpret the math better! So, Double BAM, indeed!

Hi Josh... would you please make a video and explain the differences between different statistical tests like t, z, chi... I want to know the differences and when to use each.

@statquest

5 ай бұрын

I'll keep that in mind.

Really amazing work! This set of videos (neural network playlist) has really helped me in my uni coursework and project! My groupmates and I are planning to get a statquest triple bam hoodie each haha!

@statquest

3 ай бұрын

That's awesome!!! TRIPLE BAM! :)

Thank you for explaining it so simply even a novice like me can understand it.

@statquest

3 ай бұрын

Thanks!

i love your videos, it helped me so much.. learned a lot.. i was able to make UNA thanks to your learnings :)

@statquest

4 ай бұрын

Triple bam! Congratulations!

Baaam this is good :D I have been waiting for this, to be honest, I had the feeling that one day you would make such a tutorial. Your content is great.

@statquest

6 ай бұрын

Thank you very much!

Absolutely fantastic explanation again

@statquest

3 ай бұрын

Thank you!

I was thinking about taking a course to learn matrix algebra yesterday. Thanks for posting this video. It is really helpful and it is like a wish came true.

@statquest

6 ай бұрын

BAM! :)

I found this channel when searching for a clear explanation of central limit theorem on Google (after doing some simulation in R using sample size much less than 30 and being intrigued by the results I got) and I just want to say I love the content so much! (And the ukulele episode ❤) I’ve recently started some machine learning classes on coursera and EdX, and I must say the explanation you have here in these episodes are SO MUCH BETTER AND MORE TO THE POINT/BETTER DEFINED than the multi thousand dollar classes (I’m surely glad I chose to audit them first!) taught by professors from Harvard or Engineers working for Google/IBM. So much better!… ❤❤❤ Just want to say thank you and Merry Christmas! I know I will be going through these videos one by one in the coming months…

@statquest

5 ай бұрын

Thank you very much!!! I'm so happy you enjoy my videos. BAM! :)

@arenashawn772

5 ай бұрын

⁠@@statquestI really did and binge watched a bunch… But I must say I now enjoy your songs even more 😂 Just bought all your albums on bandcamp - they are awesome! That going back to Cali song just had me rolling off my chairs at the end of it… I relocated from San Francisco Bay Area to Florida panhandle not long ago so that song really struck a cord with me 😂😂😂

@statquest

5 ай бұрын

@@arenashawn772 Thank you very much! I'm glad you enjoy the tunes and the videos. I hope the move went well! :)

Thank you for this video. I think I understand what a transformer is now.

@statquest

6 ай бұрын

Thanks!

Very nice video! Thank you for uploading such helpful material :). It would be great if you made a video on vector and matrix calculus. These are important topics in NNs too :).

@statquest

6 ай бұрын

I'll keep that in mind.

@gocomputing8529

5 ай бұрын

Thanks for the great video! Also the topic proposed here would also be super interesting, so I hope you could do it someday

Superrrb Awesome Fantastic video

@statquest

5 ай бұрын

Thanks 🤗

Tripple Bam for sure. Amazing explanation.

@statquest

6 ай бұрын

Thanks!

Squatch: So it's all just matrix multiplication? Josh: Always has been

@statquest

6 ай бұрын

bam! :)

You will be known and remembered for the next 1000 years ..

@statquest

3 ай бұрын

bam!

@harryliu1005

2 ай бұрын

10000000 years

Quadruple bam! (One bam for me finally understanding)

@statquest

2 ай бұрын

Hooray! :)

Your video is just a lifesaver to me and my essay! Could you make a video on the Glove model in NLP?

@statquest

5 ай бұрын

I'll keep that in mind.

Very good video ! You should remake one of the transformer videos with the matrix notation as you done at the end of this vide.

@statquest

6 ай бұрын

I'm working on it right now. Hopefully it will be ready soon.

@NJCLM

6 ай бұрын

@@statquest take your time and thanks you very much, your content is so much valuable !

Please part 2 with more details, and new terms

@statquest

6 ай бұрын

I'll keep that in mind.

Quite good. ❤

@statquest

2 ай бұрын

Thanks!

Hey Josh! I love your channel and I was thinking about buying a study guide. What is the difference between watching one of your playlists and buying a study guide? Do you cover exactly the same in both and buying the study guide is for support/like a donation or is there any difference?

@statquest

5 ай бұрын

They are the same. The difference is that some people like to have the study guides for offline use or adding their own notes to. In some ways, the study guides are like "cheat sheets" - everything in a video is condensed to about 3 to 5 pages.

Can you please create a video on multi-modal transformer architecture?

@statquest

6 ай бұрын

I'll keep that in mind.

@free_thinker4958

5 ай бұрын

I hope he does it, he's our savior when it comes to understanding complex concepts

hello statquest, what software do you use to create your videos ? (your answer is really useful to me)

@statquest

5 ай бұрын

I give away all of my secrets in this video: kzread.info/dash/bejne/laaAuqyAXainmM4.html

great

@statquest

6 ай бұрын

Thanks!

Joshua your teaching was fantastic, but I couldn't quite grasp the concept.

@statquest

5 ай бұрын

What time point (minutes and seconds) was confusing?

Could you explain the math behind a basic liquid neuron and show how it differs from other neuron ?

@statquest

6 ай бұрын

I'll keep that in mind.

You are awsome

@statquest

3 ай бұрын

Thanks!

Hi Josh, Could you do video on time series clustering , and time series analysis please?

@statquest

4 ай бұрын

I'll keep that in mind.

Ok, it always annoyed me that when you're doing matrix vector (col) multiplication they always write the matrix first, then the vector. It never occured to me until you said so just now that the cols and rows aren't valid tensor operations if you write them the other way round... Doh! It doesn't look nice though. Btw, why did you use a row vector and a transverse matrix? I would always use a col vector. Col space transforms are the default for me and you can picture the latent space. The only times I'd use rows is if I have a system of linear equations.

@statquest

6 ай бұрын

I agree that the matrix * column looks bad. And I chose to do row * matrix because that is what they used in the PyTorch documentation.

@davidmurphy563

6 ай бұрын

@@statquestGlad it's not just me that thinks it looks backwards! :)) But you're of course right; 2x2 * 2x1 is a valid operation whereas 2x1 * 2x2 is, strictly speaking, undefined. Oh, a tip you may (or may not!) find a useful teaching tool: I always look at matrix multiplication in terms of a series of dot product operations. Once the student understands that the dot product outputs a scalar expressing the likeness of two vectors (eg whether two normalised vectors pointing the same way) then rather than just mechanically running an algorithm - the student can see that it's plotting the vector in the new space by comparing its likeness to the space's basis vectors one axis at a time. That's why I think it's always handy to see a square matrix as a series of basis vectors. So, if you're going from an orthonormal basis to one where, say, y is mirrored - {{1, 0}, {0, -1}} - then it's quite apparent why taking the dot product for each spatial dimension will plot the vector upside-down. You could show an image flipping to drive the point home. I just think that's intuitive and why we're multiplying and adding across columns and rows. At least that's how I like to see it.

thanks for ur effort, ur videos helped me so much, but could u plz tell us how lghm works

@statquest

2 ай бұрын

Do you mean Light Gradient Boost? LightGBM?

@user-ut3sy6hy4p

2 ай бұрын

I mean LightGBM @@statquest

Triple Bam🎉❤

@statquest

6 ай бұрын

YES! :)

Can u please discuss about stochastic gradient boosting for classification?. I'm having trouble understanding that 😢

@statquest

4 ай бұрын

I have a whole series of videos on Gradient Boosting. You can find them here: statquest.org/video-index/

Do more videos related to GAN etc.

@statquest

5 ай бұрын

I'll keep that in mind.

What about a video on MAMBA architecture ? That would be really BAAAM

@statquest

2 ай бұрын

I'll keep that in mind.

Should we move to kaggle as we learn from these videos? Like solving their exercises to get a feel of the real world machine learning in python to the competitions they host? Or is there anything in between?

@statquest

Күн бұрын

You can definitely take a stab at a Kaggle dataset see how things go. However, I also have some videos that walk you through how to do real-world data analyses here: kzread.info/dash/bejne/eaZ-spt_fLmZdqg.html and here kzread.info/dash/bejne/anVrrpKAo6XPfLQ.html

We want yolo series mainly yolov8 from scratch

@statquest

6 ай бұрын

I'll keep that in mind.

@anickkhan

5 ай бұрын

Please Professor, it’s an earnest request. Lots of Love from Bangladesh ❤❤

Woaw

@statquest

5 ай бұрын

:)

Could you do a series on "attention is all you need " paper ? Thank you Sir.

@statquest

21 күн бұрын

This video walks you through the concepts in that paper: kzread.info/dash/bejne/rKyF27aEaNTbqbw.html And this video goes through the math: kzread.info/dash/bejne/faScz7GDnq-nlKw.html

@aga5979

21 күн бұрын

@@statquest thank you so much!!

Can we book on these concepts as well

@statquest

5 ай бұрын

I'm writing it right now.

BAM!

@statquest

3 ай бұрын

:)

Thanks Josh. But naughty, naughty, the stage is not just rotating, it is flipping. Which you can also encode in matrices of course ;-)

@statquest

6 ай бұрын

I'm not sure I understand what you mean by flipping in addition to rotating as stage left and stage right are maintained through out each change.

@Nono-de3zi

6 ай бұрын

@@statquest The drawing of the stage is asymmetrical (one edge is slightly erased). When you did the slides you flipped it instead of rotating it. As a result, Statsquatch is sometimes on one side, sometimes on the other. I know it was not on purpose 🙂 Thanks for the excellent vid as usual.

@statquest

6 ай бұрын

@@Nono-de3zi I'm still confused because statsquach is always on stage left.

@Nono-de3zi

6 ай бұрын

But the *stage* is flipped :-)

@statquest

6 ай бұрын

@@Nono-de3zi If it was flipped, then wouldn't stage left stay on top and stage right stay on the bottom?

after 10000000 years, scientists found fossil record of statquest, then he said " BAM!"

@statquest

2 ай бұрын

Ha! You made me laugh.

14:05 matrix multiplication cant be rearranged, as matrix multiplication is a sequence of calculations. is this indicated by using X as a multillication symbol and not •? Becaus in school we used • to indicate multiplications.

@nutzeeer

6 ай бұрын

ah no the x is not signifying order. but I would like that to be visible from writing alone, without the helpful explanation.

@nutzeeer

6 ай бұрын

i wonder why matrices are turned sideways like that. it would feel easier for me to multiply rows with rows.

@statquest

6 ай бұрын

This is explained, although I'm guessing not to your satisfaction, at 10:58. It has to do with the ability to combine transformations. For more details, see: math.stackexchange.com/questions/271927/why-historically-do-we-multiply-matrices-as-we-do

Great video, but i don't quite understand 25:25...

@statquest

5 ай бұрын

It just means that PyTorch stores the weights differently than we used in the earlier examples and in order to get the same math, we have to transpose the PyTorch weight matrix.

Hi, I am trying to start a youtube channel to make tutorial videos about data science related topics. I want to make the videos about things that are less popular but still important, since I found that it can be quite difficult to start off with these things since most information is in difficult to comprehend papers. My starting point will be social network analysis and natural language processing as that is my main interest and expertise. However, I am interested in finding more topics so I am starting by doing research on different channels that make tutorials for data science, AI, machine learning, statistics, natural language processing, graph theory or network analysis. So for anybody in the comments that reads this message, could you help me out by replying with any youtube creators that do something related to these topics, or any other digital platform like Brilliant. If you know a topic that is similar to the ones I mentioned that would also be a great thing to share. Or if you know of better places to share this message. Or any other helpfull tips. Thanks everybody for the help. If this message is regarded as spam also please say so and I will remove it. The topics again: -data science -AI -machine learning -statistics -natural language processing -graph theory -network analysis

zhina！

@statquest

5 ай бұрын

?

97 videos finished … small bam 🥲

@statquest

3 ай бұрын

Wow!