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man you are a brilliant guy! you explain everything in very understandable language.
you are awesome, i am starting to learn scRNAseq and the application of ML in CompBio, this explanation was like a smoothie.
I came, I saw, I understood, I liked, I subscribed!
Haha thanks!
Thanks a lot for such a great explanation!
thanks, your explanation is real help
Thanks for the video -- great review material!
wow i got it in the first 30 seconds of the video
I wish you had Method 3, FA. That would be a nice comparison of the three.
Whats FA?
Factor Analysis 🧐
I believe fa is the same as pca except the eigenvectors are rotated.
very helpful Thank you.
Wondering can information theory / entropy be useful in this context as well for dimension reduction.
Thx.
Nice👏
man you are a brilliant guy! you explain everything in very understandable language.
you are awesome, i am starting to learn scRNAseq and the application of ML in CompBio, this explanation was like a smoothie.
I came, I saw, I understood, I liked, I subscribed!
Haha thanks!
Thanks a lot for such a great explanation!
thanks, your explanation is real help
Thanks for the video -- great review material!
wow i got it in the first 30 seconds of the video
I wish you had Method 3, FA. That would be a nice comparison of the three.
Whats FA?
Factor Analysis 🧐
I believe fa is the same as pca except the eigenvectors are rotated.
very helpful Thank you.
Wondering can information theory / entropy be useful in this context as well for dimension reduction.
Thx.
Nice👏