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Fixed uci.edu dataset link for Airfoil dataset #2591

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Mar 16, 2024
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2 changes: 1 addition & 1 deletion chapter_optimization/minibatch-sgd.md
Original file line number Diff line number Diff line change
Expand Up @@ -261,7 +261,7 @@ As we can see, the computation on the minibatch is essentially as efficient as o

## Reading the Dataset

Let's have a look at how minibatches are efficiently generated from data. In the following we use a dataset developed by NASA to test the wing [noise from different aircraft](https://archive.ics.uci.edu/ml/datasets/Airfoil+Self-Noise) to compare these optimization algorithms. For convenience we only use the first $1,500$ examples. The data is whitened for preprocessing, i.e., we remove the mean and rescale the variance to $1$ per coordinate.
Let's have a look at how minibatches are efficiently generated from data. In the following we use a dataset developed by NASA to test the wing [noise from different aircraft](https://archive.ics.uci.edu/dataset/291/airfoil+self+noise) to compare these optimization algorithms. For convenience we only use the first $1,500$ examples. The data is whitened for preprocessing, i.e., we remove the mean and rescale the variance to $1$ per coordinate.

```{.python .input}
#@tab mxnet
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