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Machine Learning Sample Interview Questions

  • What’s the pros/cons of using Random Forest over Bagging?
  • Random Forest vs. GB, bias vs. variance?
  • What’s the dimension of Gaussian Kernel?
  • What is stochastic gradient descent?
  • Whats difference between k-means and k-nearest neighbors?
  • Why would one prefer using entropy function then others (such as L2-norm) for classification?
  • How would you solve the problem of class imbalance in classifier?
  • Why would one prefer a biased estimator (e.g., using regularization) then an unbiased estimator?
  • How does obtaining a head (1) on a coin toss, change the posterior probability assuming the coin was fair to begin with?