Machine Learning Tip: Set Boundaries for the Problems
We cannot take a giant pile of unorganized data, shove it into a machine, and expect useful resultsHumans intrinsically understand causation and, therefore know which pieces of data likely have some correlation. Therefore, when we select data for computers to analyze, we are drastically reducing the size of the problem for computers.
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