Understanding data: How statistics and machine learning learn from samples

There is an analogy in data science between inferential statistics and machine learning. Both fields aim to extract knowledge from limited data. Imagine wanting to understand the health of an entire forest. It’s impossible to examine every single tree. Instead, a researcher might take a random sample of trees and measure their height, trunk diameter,… Continue reading Understanding data: How statistics and machine learning learn from samples

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