July 2017
Intermediate to advanced
254 pages
6h 29m
English
Content preview from Mastering Machine Learning with scikit-learn - Second Edition
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Extracting features from pixel intensities
A digital image is usually a raster, or pixmap, that maps colors to coordinates on a grid. That is, an image can be viewed as a matrix in which each element represents a color. A basic feature representation for an image can be constructed by reshaping the matrix into a vector by concatenating its rows together. Optical Character Recognition (OCR) is a canonical machine learning problem. Let's use this technique to create basic feature representations that can be used in an OCR application to recognize hand-written digits in character-delimited forms.
The digits dataset included with scikit-learn ...
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