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Match the Microsoft guiding principles for responsible AI to the appropriate descriptions
DRAG DROP Match the Microsoft guiding principles for responsible AI to the appropriate descriptions. To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all. NOTE: Each correct selection is...
To complete the sentence, select the appropriate option in the answer area
HOTSPOT To complete the sentence, select the appropriate option in the answer area. View AnswerAnswer:
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point
HOTSPOT For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. View AnswerAnswer:
Match the machine learning tasks to the appropriate scenarios
DRAG DROP Match the machine learning tasks to the appropriate scenarios. To answer, drag the appropriate task from the column on the left to its scenario on the right. Each task may be used once, more than once, or not at all. NOTE: Each correct selection is worth one point....
Match the types of AI workloads to the appropriate scenarios
DRAG DROP Match the types of AI workloads to the appropriate scenarios. To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all. NOTE: Each correct selection is...
This is an example of which Microsoft guiding principle for responsible AI?
When you design an AI system to assess whether loans should be approved, the factors used to make the decision should be explainable. This is an example of which Microsoft guiding principle for responsible AI?A . transparency B. inclusiveness C. fairness D. privacy and securityView AnswerAnswer: A Explanation: Achieving transparency...
Which metric can you use to evaluate a classification model?
Which metric can you use to evaluate a classification model?A . true positive rate B. mean absolute error (MAE) C. coefficient of determination (R2) D. root mean squared error (RMSE)View AnswerAnswer: A Explanation: What does a good model look like? An ROC curve that approaches the top left corner with...
Which type of modules should you use to complete the model?
DRAG DROP You need to use Azure Machine Learning designer to build a model that will predict automobile prices. Which type of modules should you use to complete the model? To answer, drag the appropriate modules to the correct locations. Each module may be used once, more than once, or...
For a machine learning progress, how should you split data for training and evaluation?
For a machine learning progress, how should you split data for training and evaluation?A . Use features for training and labels for evaluation. B. Randomly split the data into rows for training and rows for evaluation. C. Use labels for training and features for evaluation. D. Randomly split the data...
To complete the sentence, select the appropriate option in the answer area
HOTSPOT To complete the sentence, select the appropriate option in the answer area. View AnswerAnswer: Explanation: In the most basic sense, regression refers to prediction of a numeric target. Linear regression attempts to establish a linear relationship between one or more independent variables and a numeric outcome, or dependent variable....
