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MACHINE LEARNINGLogistic regression uses which loss function? (i) Mean Squared Error (ii) Euclidean Distance (iii) Cross-Entropy (iv) Hinge Loss20252mMACHINE LEARNINGWhat is regression analysis? What are the differences between linear regression and ridge regression?20227mData MiningThe margin of the decision boundary in SVM is given by (i) d = \frac{1}{|w|} (ii) d = \frac{1}{2 \cdot |w|} (iii) d = \frac{2}{\|w\|} (iv) d = \frac{1}{|w|^2}20222mMACHINE LEARNINGExplain the concept of SVM for linear classification. Define margin, support vectors, and how the optimal hyperplane is determined.20257m
PreviousThe training dataset has 5 samples with predicted outputs [2,3,5,4,6] and actual outputs [3,3,4,5,6]. What is the Mean Squared Error (MSE)? (i) 0.2 (ii) 0.4 (iii) 0.5 (iv) 0.6NextMaximum Likelihood estimation finds (i) Prior probabilities (ii) Parameters that maximize data likelihood (iii) Decision boundaries (iv) Cluster centroids