In Regularized Linear Regression, if the practioner desires a sparse parameter vector, is L2 regularization preferable over L1 regularization?
Data Management Interview Questions
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Bayesian linear regression, putting informative priors on the weights can be see as a form of regularisation?
If we multiply all probas by 2, the area under ROC curve will be divided by 2?
Computation of the silhouette coefficient scales well, since its time complexity is O(n)?
K-means is a special case of Gaussian Mixture Model with a diagonal and constant covariance matrix?
t-SNE is a dimensionality reduction algorithm based on matrix factorization?
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