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Fixed small typo: seperation -> separation #417

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Mar 18, 2019
Merged

Fixed small typo: seperation -> separation #417

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2 changes: 1 addition & 1 deletion advanced/optimizing/index.rst
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Expand Up @@ -93,7 +93,7 @@ Useful when you have a large program to profile, for example the
(`ICA <https://en.wikipedia.org/wiki/Independent_component_analysis>`_). PCA
is a technique for dimensionality reduction, i.e. an algorithm to explain
the observed variance in your data using less dimensions. ICA is a source
seperation technique, for example to unmix multiple signals that have been
separation technique, for example to unmix multiple signals that have been
recorded through multiple sensors. Doing a PCA first and then an ICA can be
useful if you have more sensors than signals. For more information see:
`the FastICA example from scikits-learn <http://scikit-learn.org/stable/auto_examples/decomposition/plot_ica_blind_source_separation.html>`_.
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