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MACHINE LEARNINGWrite short notes on the following: (b) Reinforcement learning20227mArtificial intelligenceExplain how an agent's architecture affects its ability to operate in a partially observable, stochastic environment. Provide a practical example.20247mArtificial intelligenceMinimax is used in game playing to: (i) Maximize randomness (ii) Minimize evaluation time (iii) Make optimal moves assuming the opponent plays optimally (iv) Store all possible states20242mHUMAN RESOURCE DEVELOPMENT AND ORGANIZATIONAL BEHAVIOURClassical behaviourists attributed learning to the association or connection between which of the following? - (i) Stimulus and Response - (ii) Response and Stimulus - (iii) Modelling - (iv) Self-efficiency20232m
PreviousExplain the EM algorithm. Describe the E-step and M-step with an example of parameter estimation in a mixture model.NextApply the ID3 algorithm on the following data to draw a decision tree. Show the Information Gain at each split. ### Dataset | Outlook | Temperature | Humidity | Windy | PlayTennis | |-----------|-------------|----------|-------|-------------| | Sunny | Hot | High | False | No | | Sunny | Hot | High | True | No | | Overcast | Hot | High | False | Yes | | Rainy | Mild | High | False | Yes | | Rainy | Cool | Normal | False | Yes | | Rainy | Cool | Normal | True | No | | Overcast | Cool | Normal | True | Yes | | Sunny | Mild | High | False | No | | Sunny | Cool | Normal | False | Yes | | Rainy | Mild | Normal | False | Yes | | Sunny | Mild | Normal | True | Yes | | Overcast | Mild | High | True | Yes | | Overcast | Hot | Normal | False | Yes | | Rainy | Mild | High | True | No |