Machine learning - Importance sampling and MCMC I
Рет қаралды 85,999
Күн бұрынImportance sampling and Markov chain Monte Carlo (MCMC). Application to logistic regression.
Slides available at: www.cs.ubc.ca/~nando/540-2013/...
Course taught in 2013 at UBC by Nando de Freitas
7 жыл бұрын
All of his online lectures on machine learning, deep learning and so on are by far the best you can find on the internet! Thanks so much !!!
@gofeto91 4 жыл бұрын
Very very underrated course. I learned so much by watching your lectures. Thank you for sharing them!
@bodwiser100 11 ай бұрын
One thing that remained confusing for me for a long time and which I don't think he clarified in the video was that the N and the summation from i = 1 to i = N does not refer to the # of data points in our dataset but to the number of times of we run the Monte Carlo simulation.
@TaufiqHabib 3 жыл бұрын
I love this lecture and the insights it provides
@kotsaris87 10 жыл бұрын
May I ask what you use to "write" onto your slides? or what laptop do you use for your presentations?
@citiblocsMaster 5 жыл бұрын
31:39 "We are going to beat the curse of dimensionality that way". Whoaah. Now it makes sense
@jcropcho 5 жыл бұрын
"Revise" should be "revisit." Thank you for these lectures, Professor Freitas.
@rajupowers 4 жыл бұрын
MCMC @1:00:00
@quAdxify 4 жыл бұрын
Liked a lot of your lectures but this is really not one of your best work, really confusing at times. There are better explanations out there!
@Programmer_Cookbook 4 жыл бұрын
Which one for example?
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