Example: EM for discrete mixture, E-step

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Bayesian Optimization, Gaussian Process, Markov Chain Monte Carlo (MCMC), Variational Bayesian Methods

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4.6(347 個評分)
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Challenging, but well designed course covering cutting edge ML methods. The course assumes high proficency with Tensorflow, Keras, and Python.

I would like to thank the instructors for this great course. This is definitely not an easy course. But the learning has been immense.

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Expectation-Maximization algorithm

教學方

  • Daniil Polykovskiy

    Daniil Polykovskiy

    Researcher
  • Alexander Novikov

    Alexander Novikov

    Researcher

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