The fundamental difference between discriminative models and generative models is: Discriminative models learn the (hard or soft) boundary between classes. Generative models model the distribution of individual classes. Edit: A Generative model is the one that can generate data. It models both the features and the class (i.e. the complete data).
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Live ChatThe Difference Between a Clarifier and a Thickener is subtle as they will visually look the same. Fundamentally, thickeners and clarifiers are both used to settle solids which results in the separation of liquids and solids. Thickeners are used to concentrate solids, while clarifiers are used to purify liquids.
Live ChatLet's begin with its motivation/intuition, that is: why we need calibrated classifier, or what is a good classifier. Suppose you're designing a fraud detection system for Paypal or Alipay, you train a probabilistic classifier (such as Logistic Re...
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