Machine Learning is really about mirroring data, and mirroring it in a way that sometimes approximates the thing that generates the data -- the real world process and its statistical footprints. If we make incorrect assumptions about the data, we are subject to bias; whereas, if we over fit to the data, our forecast will have larger errors in the future. Over mirroring the data implies that we d…
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