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What Is A Hypothesis In Machine Learning

The Manifold Hypothesis explains heuristically why machine learning techniques are able to find useful features and produce accurate predictions from datasets that have a potentially large number of dimensions variables The fact that the actual data set of interest actually lives on in a space of low dimension means that a given machine

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