Nonparametric Bayesian Methods: Models, Algorithms, and Applications I

Tamara Broderick, MIT
simons.berkele...
Foundations of Machine Learning Boot Camp

[@jakubpruher979]

So far the best explanation of DPs I've seen to date!

[@horacetso]

the illustration on sampling from Dirichlet distrib is probably the best I've ever heard (starting 28:00)

[@muratcan__22]

perfect intuition at the beginning about the effects of beta and dirichlet parameters

[@amirkhan355]

What a great teacher

[@richasrivastava999]

very insightful explanation on non parametric Bayesian.

[@pauloabelha]

Great lecture!

[@Rook_i_e]

Brilliant

[@yunzheli8784]

This is amazing.

[@mathom21]

It is just outstanding

[@ejaz629]

Great talk!

[@pauloabelha]

41:10 watch later

[@chrisolen2113]

superb.

[@batuhankavlak]

Is there sth that explains notations used in the slides? Every time I watch sth about a topic, all notations differ; and the speaker may forget to clarify. A clarification as notes would help the audience a lot!

[@michalelee9107]

i heat to be interrupted by audience

[@timgraham1785]

The blokes in the audience interrupting her lecture... I mean, come on

[@pattiknuth4822]

Apparently she took credit for something someone else discovered

[@terryr9052]

The guy constantly adding info from the audience is annoying

[@superhanfeng]

lol I believe you are talking about Michael I Jordan sitting at the far left. Look him up and google scholar page and you will realize listening to his comments at a high level is quite a bless.

[@terryr9052]

@@superhanfeng I am on part 2 of the videos and know it is him and that he is very insightful. However, I don't think it is respectful to the speaker and undermines them.

[@jansensun6191]

Explaining a simple idea in a complex way is not so great.

[@navaneethansanthanam7970]

Not sure where you actually see this happening in the video?

[@1243576891]

leaving a negative comment without explaining it is not so great

[@RonaldvanElburg]

Great lecture!