Part 2 Recommendations
Representation is one of the most complex and compelling tasks in machine learning and computer science in general. Pedro Domingos, a computer science professor at the University of Washington, published an article [Domingos, 2012] in which he decomposed machine learning into three main components: representation, evaluation, and optimization. Representation specifically affects three core aspects of a machine learning project’s life cycle:
The formal language (or schema) in which a training dataset is expressed before it is passed as input to the learning process
The way in which the result of the learning process—the predictive model—is stored
How, during the prediction phase, the training data and the prediction ...
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