Machine learning - Importance sampling and MCMC I
Importance 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
Importance 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
Пікірлер: 10
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 !!!
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.
Very very underrated course. I learned so much by watching your lectures. Thank you for sharing them!
I love this lecture and the insights it provides
May I ask what you use to "write" onto your slides? or what laptop do you use for your presentations?
31:39 "We are going to beat the curse of dimensionality that way". Whoaah. Now it makes sense
"Revise" should be "revisit." Thank you for these lectures, Professor Freitas.
MCMC @1:00:00
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?