August 2018
Intermediate to advanced
522 pages
12h 45m
English
Content preview from Machine Learning Algorithms - Second Edition
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Vectorizing
This is the last step of the Bag-of-Words pipeline and it is necessary for transforming text tokens into numerical vectors. The most common techniques are based on a count or frequency computation, and they are both available in scikit-learn with sparse matrix representations (this is a choice that can save a lot of space considering that many tokens appear only a few times, while the vectors must have the same length).
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