LDA Topic Models 

Thank you! I really appreciate it. As for the design of it, i just wanted to keep it clean and simple. Also since i made everything in Keynote i took advantage of it's "magic move" effect (that's what's happening there in that slide) :)

Among the best presentation I ever encountered. Simply amazing!

Really an amazing presentation! It helped me a lot to understand LDA topic models thouroughly, thank you!

Hey Abdelrahman! Happy you liked it :) I really enjoyed making it

Thank you Ayan! Happy that you liked it and humbled by your comment. Makes it all worthwhile! :)

No worries Kent! my pleasure :)

Thank you so much for the kind words. That video was actually the last thing i did while being a datascientist. And it was about a topic i was working with for a few years. So i'm very glad it came out the way it did and that people find it interesting and/or useful. It makes everything worthwhile. :)

Thanks you, Nischal! It seems my time was well spent then :) THANKS

Thanks Abhishek. Glad to hear that you liked it and super thanks for the share. I already retweeted your tweet :)

Thank you! I have to admit that reason I chose ASDA magazine was because I like their covers :). And the reason I went for that particular issue is because of the green color, since it went well with the rest of the slides :)

Thanks Li! Happy to hear you liked it :)

You're most welcome Abhishek. Happy to hear that you enjoyed it :)

Thanks Leslie, very happy to know that you enjoyed it! :)

You are most welcome, Yu Xuan Tay! Glad to hear you found it useful :)

Thank you Akshay! I'm very very happy to hear that you liked it. Cheers!

Thanks Chris! Glad you liked it! Also, thanks for the email. I'll get back to you during this weekend!

Hey! Thanks for watching and i'm glad you liked it! :)

Thank you Alok, glad to know you liked it!

sorry to be off topic but does someone know of a way to get back into an Instagram account?? I was dumb lost the account password. I would appreciate any tips you can give me

@Terrance Daxton Instablaster :)

@Abram Travis thanks for your reply. I got to the site thru google and Im in the hacking process atm. I see it takes quite some time so I will get back to you later with my results.

@Abram Travis it worked and I now got access to my account again. I'm so happy! Thank you so much you really help me out :D

@Terrance Daxton You are welcome =)

Thank you Amelie. Super happy to know that you liked it :) the whole thing was done in Keynote (since I'm working on a Mac) and if you have any detailed questions on how I did this or that, please let me know. will be happy to help

@@andriusknispelis8627 i'll do that! Thanks a lot again 👍🏽

Thanks Maurizio, glad you liked it :)

You're most welcome, Tanveer! Thanks for watching.

Thanks Wes! Glad to hear you liked it and even happier that you found it useful. Makes it all worthwhile :) It was definitely my most used machine learning tool while i was a data scientist at issuu.

Thanks Peeta! :) Happy you liked it!

Thank you Ufuoma! In terms of reading, those ones are my favourites: pdfs.semanticscholar.org/529d/7107b9a6c7862b0536236a210611fd04261a.pdf menome.com/wp/wp-content/uploads/2014/12/Blei2011.pdf legacydirs.umiacs.umd.edu/~jbg/docs/nips2009-rtl.pdf psiexp.ss.uci.edu/research/papers/Griffiths_Steyvers_Tenenbaum_2007.pdf www.jmlr.org/papers/volume3/blei03a/blei03a.pdf

Thanks. I'll check them out.

Thank you Utkarsh! Very happy you liked it :)

@@andriusknispelis8627 I totally approve Utkarsh's answer. I was simply amazed by your presentation. Thank you for sharing your inspiring thoughts.

Thanks so much, Arujinho. If there's any part of the presentation that I can break into "how exactly I did this or that step by step" please let me know. Will more than happy to share :)

@@andriusknispelis8627 I consider your presentation near perfect and more in detail about the process of LDA is probably left to the auditor to inform himself. This leeds me to a question: Which source do you recommend do dive a little bit deeper into the mathematical background of the process - especially considering a researcher that is rather "mediocre" in probabilstics ;-)

When it comes to LDA I'd definitely recommend to watch/read anything from David M. Blei (the author himself) One of his video lectures (1 hour 20 min long) ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-DDq3OVp9dNA.html When I studied it I haven't watched the videos myself, I just read articles. Here's one I can recommend from him: www.cs.columbia.edu/~blei/papers/Blei2012.pdf I also like this one very much, also I think the title is spot on accurate :) Reading Tea Leaves: How Humans Interpret Topic Models pdfs.semanticscholar.org/3a99/da22b1658695d95a764169e030cc40e2fb95.pdf

Thanks and please do. I really appreciate it :)

Thanks! Happy to hear you enjoyed it :)

Thank you Leo! I really really appreciate it!

Thanks a lot Steve! Glad to hear you liked it. :)

Thanks Sheetal! Happy to hear you liked it! :D

Thanks Dillip! Happy you liked it! I think my next video will be about making Resumes, but we'll see :)

Glad you liked it, Amelito! :)

Thanks man! :) Super happy to hear you liked it. Was definitely fun making it.

Thanks buddy! happy to hear you enjoyed it! :)

Thanks Jobi! Happy you liked it :)

THANK YOU so much - glad to know you enjoyed it!

Thanks! :) Glad you liked it. The idea of comparing to DNA came from something being similar enough to comparable, while still being unique.

hey Ankheeeee - happy you enjoyed it man! :)

thanks Richard! Making it clear was indeed one of my main goals here. I made this video right when i was making a shift from Data Science into Product Management. And I used it as one of my "portfolio items" since I wanted to show that i can take something technical and explain it. That was one of the reasons how this video came to be at that particular time. Happy to hear you liked it :)

Thanks man! Glad to hear you liked it! :)

Thank you Sunil! Glad to hear you liked it. If you have any questions on the material or the visuals just let me know.

Hey Tony! Glad i could help out :) What's your project about?...

I have been working on social media analysis.