Down-scaled Big Data Modeling

This is an idea based on rigorous statistical thinking. I need to answer how promising it could be before I may possibly share more details. Some experiments are planned to run for both linear models and generalized linear models, so as to provide empirical evidences. I am also thinking about utilization of certain CNN bases/features for image classification, upon some further understanding of the underlying model and coding exercises.

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