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Which ONE of the following options BEST DESCRIBES clustering? SELECT ONE OPTION
Which ONE of the following options BEST DESCRIBES clustering? SELECT ONE OPTION A. Clustering is classification of a continuous quantity. B. Clustering is supervised learning. C. Clustering is done without prior knowledge of output classes. D. Clustering requires you to know the classes.View AnswerAnswer: C Explanation: Clustering is a type...
Which ONE of the following options does NOT describe a challenge for acquiring test data in ML systems? SELECT ONE OPTION
Which ONE of the following options does NOT describe a challenge for acquiring test data in ML systems? SELECT ONE OPTIONA . Compliance needs require proper care to be taken of input personal data.B . Nature of data constantly changes with lime.C . Data for the use case is being...
Which ONE of the following types of coverage SHOULD be used if test cases need to cause each neuron to achieve both positive and negative activation values? SELECT ONE OPTION
Which ONE of the following types of coverage SHOULD be used if test cases need to cause each neuron to achieve both positive and negative activation values? SELECT ONE OPTIONA . Value coverageB . Threshold coverageC . Sign change coverageD . Neuron coverageView AnswerAnswer: C Explanation: Coverage for Neuron Activation...
Which ONE of the following approaches to labelling requires the least time and effort? SELECT ONE OPTION
Which ONE of the following approaches to labelling requires the least time and effort? SELECT ONE OPTIONA . OutsourcedB . Pre-labeled datasetC . InternalD . Al-AssistedView AnswerAnswer: B Explanation: Labelling Approaches: Among the options provided, pre-labeled datasets require the least time and effort because the data has already been labeled,...
