LDA Algorithm Description

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Information LDA Algorithm Description

Title	:	LDA Algorithm Description
Lasting	:	9.40
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dude tysm
Comment from : @tephalusname9820

The best explaination
Comment from : @yaohongliang4303

Good idea to start with the description of how LDA assumes documents are created This was the keypoint and kinda went under the radar in most other descriptions I found
Comment from : @TaarLps

Brilliant and Concise! :D
Comment from : @arazsharma4781

Thanks for this
Comment from : @tradertim

One of the best explanations that I've seen! Thanks!
Comment from : @MrDissid3nt

it seems like you are just reading out some book
Comment from : @jaykishanbaldania8858

great, thanks
Comment from : @davidbellaiche_photography

Great video! Beautiful and concise presentation, love it!
Comment from : @Nicole-se7zj

Great presentation on LDA!
Comment from : @lyqht

Scott, thanks you very much for this high level explanation, question: how we can feed model with topics and key words for each topic?
Comment from : @jeancm26

Very well explained using appropriate notations The explanation of generative process and the two LDA assumptions stand out because once you understand these, you are clear about how LDA works Thanks Scott
Comment from : @mmishrafaculty

this was basically reading out the slides The theory behind the probabilities was not even scratched
Comment from : @089sailboot1

80 animals, 20 cooking Vegans triggered
Comment from : @juozaskolekcionierius1522

This is excellent!
Comment from : @rahuldeshpande9997

5:42 in DrBleih videolecturesnet/mlss09uk_blei_tm/ , he says connections between topics can b modeled howbr??
Comment from : @sravanthik6277

Oh please please make more such contentwould pay for this kind of stuff
Comment from : @7justfun

Thank You Very helpful :)
Comment from : @rohanchadha3506

What is a good way to determine what topic should be specified?
Comment from : @steveg93

This has cleared so many doubts of mine!! High level but conceptual
Comment from : @adritabarari7108

Excellent and understandable introduction -- well done!
Comment from : @wobuntu

Concise and clear, great presentation with words:)
Comment from : @kuokstefan6622

It's really amazing and many thanks dear I really understand now the LDA how it's work and really good explanation brRegards
Comment from : @Dr_AliAljboury

Very helpful
Comment from : @yanshengjia

Hi Scott Great video, but I found the 'algorithm' part a bit confusing The two things I don't understand is what it means by assuming all topics are correct except the current - does that mean that this is run per document AND per topic? I also don't understand what it means to get the proportion of assignments to topic t over all documents that come from this word brbrDoes that mean that we sum up the proportion of assignments to topic t from all documents that contain the word w? That was y understanding, but documents aren't assigned topics, so I must be missing something Any clarification would help
Comment from : @mohammedhelal5778