Machine Learning and Security by Clarence Chio and David Freeman

Author:Clarence Chio and David Freeman
Language: eng
Format: mobi, pdf
Publisher: O'Reilly Media, Inc.
Published: 2018-02-12T16:00:00+00:00

Automatic Feature Learning

Not all data mining or machine learning techniques require manual feature engineering. Unsupervised feature learning and deep learning algorithms can automatically learn feature representations from either labeled or unlabeled data, allowing practitioners to avoid spending substantial effort on feature engineering and selection. Note that “unsupervised feature learning” is different from “unsupervised learning” — the former refers to automatically generating features from the raw data, whereas the latter refers to machine learning using unlabeled data. In any application of machine learning to data analysis, it is important to consider and compare the results of techniques that require feature engineering to those that use unsupervised feature learning. The question of which models and algorithms perform better on a dataset is nuanced and highly dependent on the nature of the data.

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