In this example, we used a linear model to solve a simple… In this example, we used a linear model to solve a simple regression supervised learning task. This model type is a great first choice when exploring a machine learning problem because it’s very fast and straightforward to train. It typically works well when you have relationships in your data that are linear (when input changes by X, output changes by some fixed multiple of X).Can you think of an example of a problem that would not be solvable by a linear model?Engineering & Technology Computer Science CS 181
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