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Dimensionality Reduction

  • Q. What is Dimensionality Reduction?
  • Q. When to use PCA vs Random Projection?
  • Q. What is Random Projection? Discuss its advantages and disadvantages?
  • Q. How does T-SNE compare to PCA?
  • Q. How does T-distributed Stochastic Neighbor Embedding (T-SNE) work at a high level?
  • Q. What is Factor Analysis, and how does it differ from PCA?
  • Q. What is Independent Component Analysis (ICA), and how is it distinguished from PCA?
  • Q. What is Kernel PCA?
  • Q. What is Principal Component Analysis (PCA), and how does it differ from clustering?
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Other Questions in Dimensionality Reduction
  • How does a decision tree create splits from continuous features?
  • What is the difference between Decision Trees, Bagging and Random Forest?
  • Top 20 Interview Questions on Ensemble Learning with detailed Answers (All free)
  • Explain the difference between Entropy, Gini, and Information Gain
  • How does pruning a tree work?
  • What is CART?
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