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Machine Learning is a subfield of computer science that draws on elements from algorithmic analysis, computational statistics, mathematics, optimization, etc. It is mainly concerned with the use of data to construct models that have high predictive/forecasting ability. Topics include modeling building, applications, theory, etc.
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Where does the "deep learning needs big data" rule come from
Not many people have looked into this problem from a theoretical perspective. There's a line of research that focuses on model selection that might be worth considering.
Background
Model selection is …