Comments to the Book on Probabilistic Machine Learning

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6 thoughts on “Comments to the Book on Probabilistic Machine Learning

  1. Please post your comments on the script here. You do not need to enter your name or email.
    Kind Regards, Elmar Rueckert

  2. 2.3 Logistic Regression

    > where σ’ denotes the sigmoid function in Equation 2.4. Note that the
    function φ(x) in Equation 2.2 may be in the simple lear* model the
    identity function φ(x) = x.

    simple linear* model

  3. Missing blank space at the bottom of page 15: To better visualize the difference to ridge regression in Equation2.12 and ..

    Remark 2.5.1 makes no sense to me in terms of content (Intuitively, such a model make sense as for noisy data that much and hence regularize more.).

    In Remark 2.6.1 there is a dot instead of a comma in the last sentence.
    Directly after the remark mu is described as parameter uncertainty, but as I understood the parameter uncertainty will be described by sigma.

  4. Section 1.6 Beta Distribution:

    The formula for the Beta Distribution is wrong. Either it should be Beta(x|a,b) := B(a,b)… (so no inverse on the B function) or B(a,b) = (g(a)g(b))/(g(a+b)) where g() is the gamma function.

  5. 1. The formula for Beta distribution is wrong. Should be either: Beta(x|a,b) = B(a,b) … (ie. without the inverse) or : B(a,b) = gamma(a)gamma(b)/gamma(a+b)

    2. The equation 1.8 and 1.9 are wrong. It should be (1.8): mu_a|b = … and not mu_b|a = …
    and for 1.9 it should be: Sigma_a|b = …… and not Sigma_b|a = …..

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