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Professional Skill DevelopmentWrite a short note on: Decision Making20257mArtificial intelligenceCompare probabilistic reasoning using Bayesian Networks with logical reasoning. In what situations is probabilistic reasoning more appropriate? Give examples.20247mArtificial intelligenceDefine prior probability and conditional probability. State Bayes's theorem. How is it useful for decision making under uncertainty.20227mDesign and Analysis of Algorithms Answer the following: (i) Differentiate between best-case, worst-case, and average-case complexity with suitable examples. (ii) Use examples like linear search to demonstrate the differences. (iii) Discuss why worst-case analysis is often preferred in practice.20247m
PreviousWhich 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)NextWhere does the Bayes rule can be used? (i) Solving queries (ii) Increasing complexity (iii) Decreasing complexity (iv) Answering probabilistic query