Back to the 2025 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.20237mSoftware EngineeringA company needs to develop digital signal processing software for one of its newest inventions. The software is expected to have 40000 lines of code. The company needs to determine the effort in person-months needed to develop this software using the basic COCOMO model. The multiplicative factor for this model is given as 2.8 for the software development on embedded systems, while the exponentiation factor is given as 1.20. What is the estimated effort in person-months? (i) 234.25 (ii) 932.50 (iii) 287.80 (iv) 122.4020212mMACHINE LEARNINGWhat is regression analysis? What are the differences between linear regression and ridge regression?20227mMACHINE LEARNINGWhich of the following steps/assumptions in regression modeling impacts the trade-off between under-fitting and over-fitting the most? (i) The polynomial degree (ii) Whether we learn the weights by matrix inversion or gradient descent (iii) The use of a constant-term (iv) None of the above20222m
PreviousDescribe the evaluation metrics used in machine learning, such as accuracy, precision, recall, and F1-score, with a numerical example. Explain the importance of cross-validation in estimating a model's generalization performance.NextGiven a dataset with two features: X = [[2, 0], [0, 1], [0, 2]]. Compute the covariance matrix, eigenvalues, and the principal components.