Hands-On Machine Learning on Google Cloud Platform
by Giuseppe Ciaburro, V Kishore Ayyadevara, Alexis Perrier, Bryan Fry, Antonio Gulli
Scale of features
Data scaling is a preprocessing technique usually employed before feature selection and classification. Many artificial intelligence-based systems use features that are generated by many different feature extraction algorithms, with different kinds of sources. These features may have different dynamic ranges. Popular distance measures, such as Euclidean distance, implicitly assign more weighting to features with large ranges than those with small ranges. Feature scaling is thus required to approximately equalize ranges of the features and make them have approximately the same effect in the computation of similarity.
In addition, in several data mining applications with huge numbers of features with large dynamic ranges, ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access