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

Пікірлер: 10

  • 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 !!!

  • @bodwiser100
    @bodwiser10010 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.

  • @gofeto91
    @gofeto914 жыл бұрын

    Very very underrated course. I learned so much by watching your lectures. Thank you for sharing them!

  • @TaufiqHabib
    @TaufiqHabib2 жыл бұрын

    I love this lecture and the insights it provides

  • @kotsaris87
    @kotsaris8710 жыл бұрын

    May I ask what you use to "write" onto your slides? or what laptop do you use for your presentations?

  • @citiblocsMaster
    @citiblocsMaster5 жыл бұрын

    31:39 "We are going to beat the curse of dimensionality that way". Whoaah. Now it makes sense

  • @jcropcho
    @jcropcho5 жыл бұрын

    "Revise" should be "revisit." Thank you for these lectures, Professor Freitas.

  • @rajupowers
    @rajupowers4 жыл бұрын

    MCMC @1:00:00

  • @quAdxify
    @quAdxify4 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

    @Programmer_Cookbook

    4 жыл бұрын

    Which one for example?