e learning, specifically? (revisited)**  
More specifically, we can think of machine learning as a bunch of methods to estimate `\(f\)`!  

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# Classification or regression?

**Classification** is used when the `\(y\)` outcome variable is categorical/discrete. Binary examples generally refer to a yes/no situation where a 1 is prediction of the "yes" category and 0 as the "no". Classification models the probability that the outcome variable is 1 based on the covariates: `\(Pr(y = 1 | x)\)`. This can be ex