Guest post on Making Sense's blog
I just wrote a guest post at Making Sense’s blog: A Novice’s Introduction to Data Science. Hopefully the first in a series, but for the moment, feel free to check that one out to find out what Data Science is and why you all the hype about it lately.
But causation ⇒ correlation
In my earlier post I explained how certain type of machine learning models, specifically neural networks, find the correlations between two sets of values. For predictive models, we feed correlated variables to train our models. However, sometimes, we don’t know if or how variables correlate, and part of the machine learning intelligence is to actually find that out.
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