Extremely high quality. Thank you so much. If your other videos are of similar quality, you deserve many more subs.
@MachineLearningSimulation3 жыл бұрын
Thank you so much :) Feel free to look around. And if you like the content, I would be happy if you share the channel with your colleagues and peers :)
@somanshbudhwar9 ай бұрын
Awesome explanation! Thanks
@MachineLearningSimulation9 ай бұрын
You're welcome! 😊
@user-or7ji5hv8y3 жыл бұрын
Really clear to follow and understand.
@MachineLearningSimulation3 жыл бұрын
Thanks 😊 I really appreciate the feedback.
@mukunthanr25142 жыл бұрын
Excellent explanation
@MachineLearningSimulation2 жыл бұрын
Thank you very much 😊
@Mustafa-sj6hi Жыл бұрын
Glad i found this channel. Being a masters student still I am not able to figure out what drichlet is :)
@MachineLearningSimulation Жыл бұрын
Welcome on the channel :). Glad, I can help. Rest assured, when I started my Master, I also did not know about the Dirichlet distribution. :D probability theory is just such a huge field and it takes time to comprehend it, hope I can contribute to this understanding. :) Good luck with your studies ☺️
@naterthot Жыл бұрын
Excellently explained. Thank you!
@MachineLearningSimulation Жыл бұрын
You're welcome, thanks for the kind comment 😊
@sandeepsingh-ly9nh Жыл бұрын
Thanks Man. One of the best video on Dirichlet. Finally have intuition for Dirichlet.
@MachineLearningSimulation Жыл бұрын
You're very welcome 🤗
@AmIR.W98 Жыл бұрын
exactly what I was looking for! Thank you so much
@MachineLearningSimulation Жыл бұрын
Thanks for the kind comment. I am glad I could help :)
@Henrypassau Жыл бұрын
Danke!
@MachineLearningSimulation Жыл бұрын
Sehr gerne :) Also thanks a lot for the donation ☺️
@sumailsumailov15722 жыл бұрын
Thanks for the video, very clear explanation.
@MachineLearningSimulation2 жыл бұрын
You're welcome :) Thanks for the feedback. Glad, you enjoyed it :)
@user-ul4lj6cu9b Жыл бұрын
Thank you! This really helped me a lot!
@MachineLearningSimulation Жыл бұрын
You're welcome 🤗 I'm glad I could help.
@xiaoweidu46672 жыл бұрын
very good tutorial, keep it up and thank you
@MachineLearningSimulation2 жыл бұрын
You're welcome :) Thank you for the motivation. It's amazing to see that the videos have so much value.
@habilismayilov838 Жыл бұрын
excellent explanation!!
@MachineLearningSimulation Жыл бұрын
Thanks :)
@royvivat113 Жыл бұрын
Thank you for the content!
@MachineLearningSimulation Жыл бұрын
You're welcome 😊
@Bryan-jb6xu Жыл бұрын
Hi, thanks for the great video! Could you make a video to derive the variational inference formula of "The author-topic model for authors and documents" ?
@MachineLearningSimulation Жыл бұрын
Hi, thanks a lot for the kind comment and feedback :). I will put your suggestion on my list of possible video ideas, but for now I do not want to go too deep into NLP, it's not my field of expertise and research.
@ccuuttww3 жыл бұрын
alpha = the shape of DIR theta or x_i = the points on simplex but what does it mean by uniform distribution if I set all alpha to 1 I cannot understand
@MachineLearningSimulation3 жыл бұрын
Hey, do you have a particular timestamp you are referring to in the video? Maybe some general thoughts: The Dirichlet Distribution is defined over a D-dimensional vector such that all elements add up to one. This is a necessary property in order for this vector to be a valid input to a Categorical Distribution. The Dirichlet Distribution itself is parameterized by another D-dimensional vector that I called alpha here. This alpha moves around the "probability density on the (D-1) dimensional simplex", meaning whether it is more likely to have high values in some components of the D-dimensional vector or not. A uniform prior on this D-dimensional theta vector would mean that all entries are identical, i.e. each entry is 1/D which is necessary to adhere to the property of all components adding up to one.