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MACHINE LEARNINGWhich of the following is correct use of cross validation? (i) Selecting variables to include in a model (ii) Comparing predictors (iii) Electing parameters in prediction function (iv) All of the above20222mData MiningWhich technique is particularly useful for reducing overfitting and obtaining a more reliable estimate of classifier performance? (i) Cross-validation (ii) Increasing noise (iii) Data duplication (iv) Removing the test set20262mMACHINE 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 above20222mMACHINE LEARNINGWhich of the following statement(s) is/are true for Gradient Decent (GD) and Stochastic Gradient Decent (SGD)? (1) In GD and SGD, you update a set of parameters in an iterative manner to function. minimize the error (2) In SGD, you have to run through all the samples in your training set for a single update of a parameter in each iteration. (3) In GD, you either use the entire data or a subset of training data to update a parameter in each iteration. (i) Only (1) (ii) (1) and (2) only (iii) (3) and (2) only (iv) (1), (2) and (3)20222m
PreviousWhich of the following is most likely used in deep learning? (i) Decision Trees (ii) Shallow neural networks (iii) Multi-layered neural networks (iv) K-Means algorithmNextA chatbot consistently passes the Turing Test during short conversations but fails at longer ones. What does this imply about the limitations of the test? Suggest an enhancement to the test.
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