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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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Confidence levels and error rates in binary classification models

I am a beginner self-learning machine learning and I'm currently dealing with a binary classification problem. I made a binary classifier with a basic neural network and I did some experiments with th …
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