Both discriminative and generative models have the ability to learn model parameters in a classification setting, but they are based on entirely different mechanisms and serve different purposes.
Linear models are a class of models in which a response variable is linearly related to one or more predictors.
Many non-linear relationships can be transformed into linear relationships through logarithmic and power transformations
Structured Data is data that has a clear and pre-defined schema. Unstructured Data encompasses the wide spectrum of data that does not fall within the structured category.
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