I don’t understand the dilemma. Bayes theorem is a theorem that is trivially proved. There’s absolutely no question as to whether it’s correct or not. Is the question about the accuracy of the chosen prior? If you have enough samples the prior doesn’t matter because you’ll converge on the truth either way. If you don’t have enough data for a frequentist convergence then isn’t the prior the best you can do?
@aazimlakhani8250 Жыл бұрын
Thank you for posting your Q. I'd like to answer your Q. Before that, i need to clarify, "What is the dilemma ?"
@user-di6gi5cv5m3 жыл бұрын
ひでぇ曲だ(褒め言葉)
@peterhall66563 жыл бұрын
I swing both ways. I've found it works.
@lachlanchristie93423 жыл бұрын
Who here in 2025
@alexdamman68052 ай бұрын
Currently April 2024. Captivating talk. Very real world.
@krakenmetzger4 жыл бұрын
This guy is so much better than LeBron why is there even a debate
@khoavo575810 ай бұрын
At basketball, maybe. But I believe LeBron is still a better statistician.
@FunFunFunSam4 жыл бұрын
Thank you so much for uploading. This is gold. The epic 2009 Machine Learning Summer School also had the late Sam Roweis talks on Probabilistic Graphical Models. Wondering if you have access to them as well, and could upload. Never met Sam Roweis but having watched a few of his videos in the past, you end up feeling you actually are friends with this guy since high-school. Thank you again. J
@mereel774 жыл бұрын
Lex sent me here. Thanks for posting! The main Google hit for this video directs to a website so old that it expects the user to be on Windows 95. Video refuses to play on my machine.
@newredroses4 жыл бұрын
You are very welcome! I figured many others would benefit from it being on youtube.
@matt-stam4 жыл бұрын
Thanks, I'm sure quite a few people from Lex's podcast will be wanting to check this out :)
Пікірлер
where are the slides??
Cannot see the slide and all download are outdated. Sad.
I was hoping to find a few "I'm just confused" but nah😅 everyone is solid in their outlook😂
Slides: mlg.eng.cam.ac.uk/mlss09/mlss_slides/Jordan_1.pdf
I don’t understand the dilemma. Bayes theorem is a theorem that is trivially proved. There’s absolutely no question as to whether it’s correct or not. Is the question about the accuracy of the chosen prior? If you have enough samples the prior doesn’t matter because you’ll converge on the truth either way. If you don’t have enough data for a frequentist convergence then isn’t the prior the best you can do?
Thank you for posting your Q. I'd like to answer your Q. Before that, i need to clarify, "What is the dilemma ?"
ひでぇ曲だ(褒め言葉)
I swing both ways. I've found it works.
Who here in 2025
Currently April 2024. Captivating talk. Very real world.
This guy is so much better than LeBron why is there even a debate
At basketball, maybe. But I believe LeBron is still a better statistician.
Thank you so much for uploading. This is gold. The epic 2009 Machine Learning Summer School also had the late Sam Roweis talks on Probabilistic Graphical Models. Wondering if you have access to them as well, and could upload. Never met Sam Roweis but having watched a few of his videos in the past, you end up feeling you actually are friends with this guy since high-school. Thank you again. J
Lex sent me here. Thanks for posting! The main Google hit for this video directs to a website so old that it expects the user to be on Windows 95. Video refuses to play on my machine.
You are very welcome! I figured many others would benefit from it being on youtube.
Thanks, I'm sure quite a few people from Lex's podcast will be wanting to check this out :)
+1 from Lex's podcast!
さいこう
In hanamushiro she has the best voice.