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Support Vector Machine

  • Q. What are some of the pros/cons of SVM?
  • Q. Explain how SVM can be used in regression problems
  • Q. How does hinge loss differ from logistic loss?
  • Q. Describe the hinge loss function used in SVM
  • Q. What hyper-parameters are typically tuned in SVM?
  • Q. What are common choices to use for kernels in SVM?
  • Q. What is the kernel trick in SVM?
  • Q. How does SVM adjust for classes that cannot be linearly separated?
  • Q. What is the basic idea of Support Vector Machine (SVM) and Maximum Margin?
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Other Questions in Support Vector Machine
  • What is Within Cluster Sum of Squares (WCSS)?
  • What are some approaches for modeling non linear relationships?
  • What is Kernel PCA?
  • What problems would arise from using a regular linear regression to model a binary outcome?
  • What is the problem with using a generic list of stop words? 
  • What is Classification?
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