machine learning ml

Stanford university

Here are the best resources to pass machine learning ml. Find machine learning ml study guides, notes, assignments, and much more.

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Probability Theory
  • Probability Theory

  • Presentation • 100 pages • 2022
  • Available in package deal
  • Outline 1 Basics 2 Random Variables 3 Expectation-Variance 4 Joint Distributions 5 Covariance 6 RV Conditionals 7 Random Vectors 8 Multivariate Gaussian
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The Multivariate Gaussian Distribution
  • The Multivariate Gaussian Distribution

  • Class notes • 10 pages • 2022
  • Available in package deal
  • a multivariate normal (or Gaussian) distribution 1 Relationship to univariate Gaussians 2 The covariance matrix 3 The diagonal covariance matrix case 4 Isocontours 5 Linear transformation interpretation
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Gaussian discriminant analysis. Naive Bayes.Laplace Smoothing.
  • Gaussian discriminant analysis. Naive Bayes.Laplace Smoothing.

  • Class notes • 14 pages • 2022
  • Available in package deal
  • Generative Learning algorithms Gaussian discriminant analysis. Naive Bayes. Laplace Smoothing.
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