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MACHINE LEARNINGThe kernel trick in SVM is used to (i) Map data to higher-dimensional space for linear separation (ii) Compute probabilities (iii) Reduce feature dimensions (iv) Normalize input features20252mMachine LearningDifferentiate between unsupervised and descriptive learning.20237mMACHINE LEARNINGIn Bagging, multiple models are trained on (i) The same dataset (ii) Only test data (iii) Random subsets of the training data (iv) Feature-reduced data only20252mMachine LearningDuring backpropagation, the main purpose of propagating the error backward is to (i) Generate new training data (ii) Normalize the input (iii) Remove hidden layers (iv) Compute gradients for updating network weights20262m
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