Back to the 2022 paper
Similar questions
MACHINE LEARNINGWhat is Linear Regression? Explain in detail using example and list all the assumption to be met before starting with linear regression.20237mMACHINE LEARNINGRidge regression adds which term to the loss function? (i) L1 norm (ii) Entropy (iii) L2 norm (iv) Cross-entropy20252mSoftware EngineeringDefine regression testing. Discuss its significance in software maintenance and the challenges faced in its implementation.20247mMACHINE LEARNINGExplain the model of over-fitting and under-fitting. Give the example of over-fitting and under-fitting in two-dimensional data.20227m
PreviousDefine how Bayesian networks and Markov random fields are used to represent probability distributions, and briefly describe the trade-offs involved in choosing one versus the other.NextExplain how the linear maximum-margin classifier can be modified to be non-linear and to allow misclassification of the training examples. Give a derivation of the modified optimization problem needed for training. You need only derive a statement of the primal optimization problem.