Numerical machine learning algorithms attempt to find structure in data. Approaches range from using parametric models such as neural networks to using non-parametric models. This talk will explore the differences between batch learning applications in which a fixed training set is used and continuous learning in which new data is continuously added to the training set.

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1996-1997 Mathematics in High Performance Computing