Question 5 - What is Prior, Conjugate Prior, Posterior and Likelihood

Question page:

Question 1- What is Maximum Likelihood Estimation
Question 2: What is Decision Theory
Question 3: What is Bayesian Model
Question 4: Differentiate between Sensitivity and Specificity
Question 5: Explain Prior, Conjugate Prior, Posterior and Likelihood
Question 6: What is Dimensionality Reduction
Question 7: What is Feature Selection
Question 8: Explain Principal Components Analysis
Question 9: What is an Eigenvalue plot
Question 10: What is a Biplot

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Machine Learning Questions and Answers

Machine Learning,Maximum Likelihood Estimation,MLE,Decision Theory,Bayesian Model,Bayes' theorem,Sensitivity,Specificity,True Positive Rate,True Negative Rate,Prior,Conjugate Prior,Posterior,Likelihood,Dimensionality Reduction,Feature Selection,Principal Components Analysis,PCA,Eigenvalue plot,Biplot,