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A visual representation of discriminative AI – Source: Analytics Vidhya Discriminative modeling, often linked with supervisedlearning, works on categorizing existing data. Generative AI often operates in unsupervised or semi-supervisedlearning settings, generating new data points based on patterns learned from existing data.
AI practitioners choose an appropriate machinelearning model or algorithm that aligns with the problem at hand. Common choices include neural networks (used in deep learning), decision trees, supportvectormachines, and more. With the model selected, the initialization of parameters takes place.
Before we discuss the above related to kernels in machinelearning, let’s first go over a few basic concepts: SupportVectorMachine , S upport Vectors and Linearly vs. Non-linearly Separable Data. Support-vector networks. References [1] Cortes, C., & Vapnik, V. link] 1 [20] Natsume, Y.
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