Many thanks to the staff at Max Planck Institute for recording and uploading this video and the entire set for MLSS 2013. These videos are immensely helpful.
+Tyler Langan Also what's up with that Sum Rule? Is the y not a parameter for the equation (left side of the equal sign)? Why is P(x) even in there? Why not function (x, y) { sum(y) }? Is that what the sum rule sez? Thx 23:00
Many thanks to the staff at Max Planck Institute for recording and uploading this video and the entire set for MLSS 2013. These videos are immensely helpful.
Zoubin Gharamni is a Brilliant lecturer. Great Explanation.
Damn! A frequentist downvoted the video!
Dem damn frequentists
lmao
Just curious how the sum rule can be continuous from a random set of data? There aren't points at every possible x value, rite? 23:00
+Tyler Langan Also what's up with that Sum Rule? Is the y not a parameter for the equation (left side of the equal sign)? Why is P(x) even in there? Why not function (x, y) { sum(y) }? Is that what the sum rule sez? Thx 23:00
Great lecture
Great explanation!
This lecture is brilliant, but I can't be the only one hearing Weird Al when Zoubin talks
I love this guy!
52:08 why P(q)=2 ????
integrate p(q) wrt q over the range [0, 1]
This guy rocks
our school taught this for a semester and it's hard when you try to do the math.
all your bayes are belong to us
😂😅😂