Machine Learning - (Probabilistic?) Neural Network (PNN)

Thomas Bayes

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Neural network was borned to resolve the problem of handwritten digits recognition taken from envelopes.

A neural network with a hidden layer has universality: given enough hidden units, it can approximate any function (???)

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Thomas Bayes
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Regularization refers to a process of introducing additional information in order to: solve an ill-posed problem or to prevent overfitting. This information is usually of the form of a penalty...
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Forecasting is the process of making predictions of the future based on past and present data (time serie) and analysis of trends. Prediction is a similar, but more general term. Usage can differ...



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