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Exploring the Mathematics of Statistical Learning Theory

It is impossible to deny the power of neural networks – recent progress in deep learning has consolidated them as the approach of choice for many learning tasks. There is, however, still a delicate art to their design, application and training. This post will dig into statistical learning theory, which provides some theoretical backbone to the fundamental tradeoffs present in any learning task, which in turn illuminates some of the nuances present in the current machine learning landscape.