You identified a simple cluster of knowledge, you did not go too deep, instead gave a clear presentation and explanation without any distraction. Well done, thank you.
This was brilliant . Cleared up so much of my hitherto unknown confusion....esp the fact that not ALL ml is neural networks. Really didny know that...yes, heard about the others like svd, decision trees, etc. But didnt put them in the ml sphere.
Thank you Professor Brunton for always giving highly content videos with such clear explanations. Even for professionals like me who have worked with data science for almost a decade, it is very elucidating. Do you plan to make a video explaining how deterministic and stochastic control techniques may be applied to physical systems, and which one is more suited for each case?
Professor, I am thankful for these lectures you take time to post. I am taking a class in AI for industry and we used PCA, FFT, SVM, SOM, Logistic Reg., and regression. I will appreciate if you could make a video on Self organizing maps and Support vector machines, especially how to implement in MATLAB and python. Thanks so much
Fantastic. I'm a mathematician wanting to get into ML and this has been a nice overview. Can I ask how you create these presentations? I've never seen someone interact with a visualization in this way? Does the technique have a name I can Google? Thanks.
You identified a simple cluster of knowledge, you did not go too deep, instead gave a clear presentation and explanation without any distraction. Well done, thank you.
A premium video to watch on the last day of 2023!
A very useful series to share with those that ask me how all of this works. Thanks! Enjoyed the "New Advances" video, as well. Cheers
Oh boy, we're in for a treat on this topic! Thank you !!
This was brilliant
.
Cleared up so much of my hitherto unknown confusion....esp the fact that not ALL ml is neural networks. Really didny know that...yes, heard about the others like svd, decision trees, etc. But didnt put them in the ml sphere.
Thank you Professor Brunton for always giving highly content videos with such clear explanations. Even for professionals like me who have worked with data science for almost a decade, it is very elucidating. Do you plan to make a video explaining how deterministic and stochastic control techniques may be applied to physical systems, and which one is more suited for each case?
Professor, I am thankful for these lectures you take time to post. I am taking a class in AI for industry and we used PCA, FFT, SVM, SOM, Logistic Reg., and regression. I will appreciate if you could make a video on Self organizing maps and Support vector machines, especially how to implement in MATLAB and python. Thanks so much
we appreciate your effort to do that wonderful lecture, you are my hero...
I am from Kurdistan-Slemany city.
Am grateful for this lecture. Its been really simplified to my understanding
Fantastic. I'm a mathematician wanting to get into ML and this has been a nice overview.
Can I ask how you create these presentations? I've never seen someone interact with a visualization in this way? Does the technique have a name I can Google? Thanks.
Thanks professor. You are the best
Thanks for your clear presentation. Would you please give more details about “labeled”? Thanks
is this part of a playlist? I looked for one for just machine learning, but didn't find one, and I really would like to see all the related videos.
thank you for this , it's amazing intro about this field , keep on and deep dive in this field , again and again thank you ^ ^
You're welcome :)
My bachelor project is:
Airfoil Aerodynamics Coefficient Estimation using Neural Network-based mode.
Always a pleasure your videos- thx for sharing your knowledge
Thanks for watching :)
Than you so much professor Steve brunton for wonderful explanation 😄😄
Thanks Mr Brunton.
Thankyou for the great mindmap 👍
Great and clear structure!
Thanks for this video
好老师👍
gradients and automatic differenciation