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exercises.md

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Ch 1

TBC

Ch 2

Have a go at (in order of 'importance' maybe?)

  • 2.45 verify the Wishart is a conjugate prior for the multivariate Gaussian precision matrix.
  • 2.19 show the eigenvector expansion makes sense.
  • 2.36 sequential estimation of the variance of a 1d Gaussian.
  • 2.5 showing that the beta distribution is correctly normalised.

Ch 3

  • 3.1 show that tanh and sigmoids basis functions are equivalent
  • 3.4 show that noise on linear model inputs is equivalent to weight decay
  • 3.8
  • 3.11
  • 3.18
  • 3.24

Ch 4

TBC

Ch 5

TBC

Ch 6

TBC