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Gaussian Mixture Models

  • Q. What is a Gaussian Mixture Model (GMM)?
  • Q. Pros and Cons of Gaussian Mixture Models (GMM) Clustering
  • Q. What are some options for identifying the number of components in a GMM?
  • Q. What is Expectation-Maximization (EM)?
  • Q. How does the EM algorithm (in the context of GMM) compare to K-Means?
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Other Questions in Gaussian Mixture Models
  • Top 20 Interview Questions on Ensemble Learning with detailed Answers (All free)
  • What is a Decision Tree? Explain the concept and working of a Decision tree model
  • What is Bagging? How do you perform bagging and what are its advantages?
  • Explain the concept and working of the Random Forest model
  • What is Gradient Boosting (GBM)? Describe how does the Gradient Boosting algorithm work
  • What are the advantages and disadvantages of Decision Tree model? 
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