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The first and most important step towards developing a powerful machine learning model is acquiring good data. It doesn’t matter if you’re using a simple logistic regression or the fanciest state-of-the-art neural network to make predictions: If you don’t have rich input, your model will be garbage in, garbage out. This exposes an unfortunate truth that every hopeful, young data scientist has to c
Templating, and in particular web templating is a way to represent data in different forms. These forms often (but not always) intended to be readable, even attractive, to a human audience. Frequently, templating solutions involve a document (the template) and data. Template usually looks much like the final output, with placeholders instead of actual data (or example data in simplified form), bea
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