Points for discussion

  • Page 73: covariance matrix
  • Page 74: correlation coefficient
    • Examples of correlation coefficient (Figure 3.1)
    • uncorrelated does not imply independent
    • correlation does not imply causation
  • Page 79: special covariance matrix
    • diagonal covariance
    • spherical covariance, isotropic covariance
  • Page 87: mixture models
    • discrete latent variable
  • Page 88: Gaussian mixture models
    • responsibility of cluster \( k \) for data point \( n \)
    • the relation between GMMs and K-means clustering
  • Page 91: Probabilistic graphical models
    • Definition
    • Bayesian network
    • Markov chains, autoregressive models, language models
  • Page 94: Explaining away
  • Page 95: plate notation