Model vs. Algorithm
Read OriginalThis article clarifies the often-confused terms 'model' and 'algorithm' in AI and data science. It defines a model as a stylized representation of a relationship (like a trend line) and an algorithm as the precise mathematical procedure to compute that model's parameters, using linear regression and Ordinary Least Squares (OLS) as a concrete example.
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