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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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What is the preferred approach for this problem?
This problem is a time series forecasting problem. First and foremost step to any data problem is to first understanding data.
Just preprocess the data keeping in mind the target variable. i.e. active …