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You are tuning a hyperparameter for an algorithm
HOTSPOT You are tuning a hyperparameter for an algorithm. The following table shows a data set with different hyperparameter, training error, and validation errors. Use the drop-down menus to select the answer choice that answers each question based on the information presented in the graphic. View AnswerAnswer: Explanation: Box 1:...
Which three Azure Machine Learning Studio modules should you use in sequence?
DRAG DROP You need to visually identify whether outliers exist in the Age column and quantify the outliers before the outliers are removed. Which three Azure Machine Learning Studio modules should you use in sequence? To answer, move the appropriate modules from the list of modules to the answer area...
You are performing feature scaling by using the scikit-learn Python library for x.1 x2, and x3 features
HOTSPOT You are performing feature scaling by using the scikit-learn Python library for x.1 x2, and x3 features. Original and scaled data is shown in the following image. Use the drop-down menus to select the answer choice that answers each question based on the information presented in the graphic. NOTE:...
Which Azure Machine Learning Studio module should you use?
You are performing feature engineering on a dataset. You must add a feature named CityName and populate the column value with the text London. You need to add the new feature to the dataset. Which Azure Machine Learning Studio module should you use?A . Edit Metadata B. Preprocess Text C....
Which technique should you use?
You need to implement a new cost factor scenario for the ad response models as illustrated in the performance curve exhibit. Which technique should you use?A . Set the threshold to 0.5 and retrain if weighted Kappa deviates +/- 5% from 0.45. B. Set the threshold to 0.05 and retrain...
Which parameter should you use?
You are creating a machine learning model. You have a dataset that contains null rows. You need to use the Clean Missing Data module in Azure Machine Learning Studio to identify and resolve the null and missing data in the dataset. Which parameter should you use?A . Replace with mean...
In which order should you perform the actions?
DRAG DROP You have a dataset that contains over 150 features. You use the dataset to train a Support Vector Machine (SVM) binary classifier. You need to use the Permutation Feature Importance module in Azure Machine Learning Studio to compute a set of feature importance scores for the dataset. In...
Which four actions should you perform in sequence?
DRAG DROP You are building an intelligent solution using machine learning models. The environment must support the following requirements: ✑ Data scientists must build notebooks in a cloud environment ✑ Data scientists must use automatic feature engineering and model building in machine learning pipelines. ✑ Notebooks must be deployed to...
Which value should you use?
HOTSPOT You arc I mating a deep learning model to identify cats and dogs. You have 25,000 color images. You must meet the following requirements: • Reduce the number of training epochs. • Reduce the size of the neural network. • Reduce over-fitting of the neural network. You need to...
Which properties should you select?
HOTSPOT You need to identify the methods for dividing the data according, to the testing requirements. Which properties should you select? To answer, select the appropriate option-, m the answer area. NOTE: Each correct selection is worth one point. View AnswerAnswer:
