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Module 1: Introduction

20237m

What is the necessity of feature transformation in learning?

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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 LEARNINGHow does Back Propagation Rule help in learning in Neural Network?20237m
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