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Gaussian Mixture Models

  • Q. Pros and Cons of Gaussian Mixture Models (GMM) Clustering
  • Q. How does the EM algorithm (in the context of GMM) compare to K-Means?
  • Q. What are some options for identifying the number of components in a GMM?
  • Q. What is a Gaussian Mixture Model (GMM)?
  • Q. What is Expectation-Maximization (EM)?
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  • Deep Learning (52)
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Other Questions in Gaussian Mixture Models
  • What is CART?
  • What are the best ways to safeguard against overfitting a GBM?
  • How is Gradient Boosting different from Random Forest?
  • Distinguish between a Weak learner and a Strong Learner
  • What is Bagging? How do you perform bagging and what are its advantages?
  • Why is Random Forest a non-linear model? Why does it result in non-linear decision boundaries?
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