Understanding Intuition Behind Linear Classifiers

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Key Takeaways about Intuition Behind Linear Classifiers

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  • The goal is to classify data points into categories by using a
  • Definitions; decision boundary; separability; using nonlinear features.
  • PhD candidate Henry Z. Lo explains how to derive the primal form of the support vector machine

Detailed Analysis of Intuition Behind Linear Classifiers

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