Independent Component Analysis 1

[@xruan6582]

Your lectures are always fantastic, always. But the video quality of this one looks like from 1998

[@aroubasheikh8631]

Watching from Pakistan, I was searching for detailed explanation on this topic and I finally found it. Good lecture Thankyou

[@jamesgohigh26]

This professor is so charismatic

[@jairovideo]

Your lectures are always great !

[@MiniXue]

This professor is awesome! I hope he's in our university.

[@oliverspeltz3809]

University of Washington

[@alexvasin6297]

Cool lecture !! thank you. From Russia with love

[@MrTOCSY]

Thanks, Mr. Kutz

[@wiiuwiiu2020]

This was amazing Dr. Kutz. I'm applying to UW MSTP this cycle and would love to meet you during interviews.

[@deneshkumarmani6199]

Amazing lecture. Thanks a ton.

[@rafaelcampos4559]

came to learn ICA stayed for the terminator story. XD. Great lecture!

[@sirip8505]

Nicely explained.

[@petertwiss356]

This is a solid lecture ... thanks.

[@王立午]

thanks professor ,for finally share your video on internet.

[@souravdey1227]

Too good.

[@samlaf92]

25:30 What if it's a non-diagonal multi-variate Gaussian? Then we could pick-up the axis directions.

[@CosmiaNebula]

I'd just add a bit of cassette scanline and a pink filter, suddenly it's vaporwave lecture.

[@kavithaap1919]

Thank you Sir for the nice lectures

[@allandogreat]

good professor!

[@ezoliu4118]

ppl care to share and respect others based on mutual understanding r humans entering the civilization phase,those selfish ones only know to grab and monopolize all resources and opportunities r animals

[@Dominus_Ryder]

My data set does have Gaussian distributed variables....what am I supposed to do? =(

[@barathkumar7940]

Can anyone explain 45:10?
How two data can be combined like this square?

[@JamesTJoseph]

24:50 😃

[@danial1360]

Can you please upload some lectures on dictionary learning

[@Hend-Nour]

The sound is very very very low :(

[@gabrieltorres6484]

The sound is great here.