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a new area of Machine Learning research concerned with the technologies used for learning hierarchical representations of data, mainly done with deep neural networks (i.e. networks with two or more hidden layers), but also with some sort of Probabilistic Graphical Models.
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Why should the data be shuffled for machine learning tasks
Most of the ML algorithms are likely to pick up patterns even in the order you feed data, to avoid picking inadvertently pattern which does not exist, it is important to feed the model with shuffled d …