Conditional Random Fields - Stanford University (By Daphne Koller)

[@irtazaa8200]

brilliant teaching ! thanks for sharing

[@goodday-dz7me]

I was expecting this video would talk about sequence labeling and how crf is different from hmm

[@mire1ac]

The lecturer is (the brilliant) Daphne Koller. Her name should've been mentioned.

[@amirjalilifard8743]

Mirela Causevic Thanks for your feedback.

[@cfl9077]

Yeah, a légende on computational biology

[@SurajKumar-bz1dx]

After spending hours over internet ...I found a crisp and clear explanation of CRF

[@lucstefelmanns2059]

Clear, concise explanation. Seems like a great lecturer. Thanks for sharing!
(also, her choice of font made my smile)

[@kollivenkatamadhukar5059]

Simply awesome

[@andrewdavies5722]

is there a playlist of these lectures delivered by Daphne available?

[@MachineLearningTV]

You may find the lectures at Coursera

[@TheBjjninja]

Awesome!!!

[@bluestar2253]

I wonder if the Markov random field is the precursor to variational autoencoder? In that both can be used to synthesize images.

[@yubai6549]

how many ads do you want to add? Yes!

[@AoibhinnMcCarthy]

Hard to follow not concise.

[@baiyu8646]

so many ads, you are insane

[@MachineLearningTV]

It is not us who puts ads. It is RUclips which insist on these advertisements and puts 10 ads in a video which is not even 10 minutes.

[@ramkotha4726]

You can install a Adblock for YT chrome extension, atleast to cut down on some junk. See if it helps!

[@nirojbajracharya291]

If you want ad less content, go to stanford.

[@sanjaykrish8719]

creeky voice. I found hard to follow