Back to the 2025 paper
Similar questions
MACHINE LEARNINGRidge regression adds which term to the loss function? (i) L1 norm (ii) Entropy (iii) L2 norm (iv) Cross-entropy20252mMACHINE LEARNINGWrite short note on: Logistic Regression and Sigmoid Function20257mArtificial intelligenceDescribe logistic regression with suitable examples.20227mMACHINE LEARNINGWrite short notes on any two of the following: (a) Naive Bayes (b) Logistic Regression \(c\) Back Propagation algorithm202314m
PreviousMaximum Likelihood estimation finds (i) Prior probabilities (ii) Parameters that maximize data likelihood (iii) Decision boundaries (iv) Cluster centroidsNextA perceptron has weights w=[0.5, -0.5] and bias b=0. For input x=[1,1] with label y=1, the weight update with learning rate η=0.1 is (i) w=[0.6, -0.4], b=0.1 (ii) w=[0.4, -0.6], b=-0.1 (iii) w=[0.5, -0.5], b=0 (iv) w=[0.7, -0.3], b=0.2