Question 4  Consider the learning task represented by the training example of the following table. Example Comedy Doctors Lawyers Guns Likes 1 false true false false false 2 True False True False True 3 False False True True True 4 False False True False False 5 False False False True False 6 True False False True False 7 True False False False True 8 False True True Ture True 9 False True True False False 10 True True Ture False True 11 True True False True False 12 False False False False False   Suppose we have a system that observes a person’s TV watching habits to recommend other TV shows the person may like. Suppose that we have characterized each show by whether it is a comedy, doctors, lawyers, or guns. The table shows a training set telling whether the person likes various TV shows or not.  What are the features, and targets in this training dataset? How many classes does this example have? Use Bayesian classifier, on the training dataset, to predict whether the user will like or not like the TV show with the attributes Comedy = true, Doctors = true, Lawyers = False, Guns = False. Is Bayesian classifier a supervised or unsupervised learning? Explain why.

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System Management Strategies

The administration of the Information Technology (IT) system in a business network or a data center is known as system management. A good system management plan makes it easier to deliver IT as a service and allows staff to react rapidly to changing business needs and system activity. Every business environment needs a change for the organization to constantly grow. These changes will require constant changes to business strategies for the organization to be successful.