刊误（chapter 1 - chapter 5）
2016-08-29
纯搬运。
来自：https://www.cs.ubc.ca/~murphyk/MLbook/errata.html
提交新的bug fix：https://docs.google.com/forms/d/e/1FAIpQLSdOXvmnvuIQn__t0xPyTErj53L-qo_RerImgKbXV4VfLDI6SQ/viewform?formkey=dEp2U2hRWXVpMU5nd05YcEJKVFNUdmc6MQ
- preface: added printing history to the end of the preface, to make it easier for the reader to determine which version they have
- sec 1.1: reworded description of the long tail
-p4 Added reference to Nate Silver book (‘The Signal and the Noise’) and reformatted sec 1.2.1.2
- footnote 3 on p31: 'risk reverse reward' should be 'risk versus reward'
- p35 After eqn 2.35: ref to “Figure 2.1(b-c)” should say “Figure 2.1”.
- sec 2.2.3 Added quote by Jeffreys’73 and ref to the book by Sharon McGrayne (2011) to the Bayes rule section
- sec 2.4.2 on student T distribution was missing subsection title; this change has
caused all subsequent subsections in 2.4 to be renumbered
- p.68: iff (if and only if) [and not "iff (***iff*** and only if)]
- equation 3.14 (p.74). should be
***p(theta | D)*** equiv. p(D | theta) * p(theta) = (...)
- p.74, 2nd parag.: missing ')' after first theta in p(D |
theta***)*** equiv. P(s(D) | theta)
- p.74, end of 1st line in section 3.3.2: missing 'be' in "it would
***be*** convenient (...)"
- p.74, penultimate parag.: "and that we think it lives in the
interval (0.05, 0.30) with
probability ***???***, then ..." [is a value missing there???]
- Page 84, line 8 of Algorithm 3.1. for theta_jc, you should have N_c, not N.
- page 85, equation 3.67, the subindex k should be c.
- eqn 3.90 (in exercise 3.3) typo: should be Gamma(a0+a1+1) = (a0+a1) Gamma(a0+a1)
- eqn 3.93 (exercise 3.9) should be max(D, b) instead of max(D)
- eqn 4.62 Should be delta_c = x’ beta_c + gamma_c
- eqn 4.82 Should be vmu_{1|2} = -vL_1^{-1} vL_2 vx_2
- eqn 4.181 Should be SN = SO + Smu, not inv(SN)
- eqn 4.197 Should be exp(-1/2 tr(Sigma(-1) S)) not exp(-N/2 …)
- sec 4.5 Distribution of scatter matrix is S ~ Wi(Sigma, N) not Wi(Sigma, 1)
- ex 4.8c. Whitening uses U and Lambda, which are the eigenvectors /
values of X'X, not X
- sec 5.7.2.1 Added footnote that AUC is equivalent to a pairwise ranking criterion
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