are generic algorithms that can tell you something interesting about a set of data without you having to write any custom code specific to the problem. Instead of writing code, you feed data to the generic algorithm and it builds its own logic based on the data.
on data • system is both the algorithm and the data • starts with a hypothesis about how we can represent the data (for linear regression : a straight line) • only as good as your data • can deal poorly with outliers • lots of calculation to learn, but very fast to apply (can run on mobile)
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