Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering
I found an Error or Typo in the Book — what now?
Excellent – well… in any case, please let me know so that I can add it to the list of errata and fix it in a future edition of the book. There are two ways for doing this:
- Alternative 1: send me an e-mail with a brief description of the problem: mds-book ∂ proton.proton.me
- Alternative 2: Go to the book's GitHub repository and create an "issue" consisting of a short title (e.g., "typo in chapter 8") and a description (e.g., "equation 3 on page 33 should start with a capital X").
Note that for submitting a GitHub issue you need to be logged in to your Github account.
List of Errata
Below are the most important corrections:
- page 48:
Within "Definition 3.11 (Specific data record or data point)", in the sentence
"The record number i consists of the input data x_j = ..." should be "....x_i =..."
[found by GitHub user zym10031]
- page 103:
John von Neumann died in 1957 (and not 1857)
[thanks to GitHub user Meisenbart]
- page 451:
Example 16.3 last line: "Therefore, it has slightly...:" should be removed
[found by GitHub user IAS-DW]
-
page 503-504 [spotted by GitHub user IAS-DW]:
-
$\partial J/\partial b_3$ ? from the bias of the last layer is missing in the text;
-
$b_3$ to be added to eq. 18.7, 18.14 ; in eq. 18.9 the bias $b_3$ is included.
-
equation 18.39: it should be $W^{(k)T}$ transposed and also in its later
occurrence (eq. 18.47)
$\partial J/\partial y_i^{(k-1)}=\partial J/\partial y_r^{(k)} w_{ir}^{(k)} $
in index notation
-
equation 18.51: the derivative of the activation function got lost. The equation
should read:
$\partial J/\partial \boldsymbol{y}^{(k-1)} = ... =\partial J/\partial \boldsymbol{y} ^{(k)} \boldsymbol{\varphi}'(\boldsymbol{x}^{(k)}) $
whe the derivative of the activation function is applied element-wise to all components of $\boldsymbol{x}^{(k)}$.
- page 512:
-
the superscripts in eq. 18.30 should be (k+1) instead of (i+1)
-
eq. 18.31 should have no summation symbol and would correctly read:
$\mathcal{J} = \frac{1}{2}\left(y^\text{train} - y^\text{pred}\right)^2$