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 actions should you perform in sequence?
DRAG DROP You need to define a process for penalty event detection. Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. View AnswerAnswer:
How should you complete the code segment?
HOTSPOT You need to use the Python language to build a sampling strategy for the global penalty detection models. How should you complete the code segment? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. View AnswerAnswer: Explanation: Box 1: import...
Which two actions should you perform?
You are a data scientist building a deep convolutional neural network (CNN) for image classification. The CNN model you built shows signs of overfitting. You need to reduce overfitting and converge the model to an optimal fit. Which two actions should you perform? Each correct answer presents a complete solution....
Which configuration options should you select?
HOTSPOT You need to configure the Edit Metadata module so that the structure of the datasets match. Which configuration options should you select? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. View AnswerAnswer: Explanation: Box 1: Floating point Need floating...
Which three actions should you perform in sequence?
DRAG DROP You have an Azure Machine Learning workspace that contains a CPU-based compute cluster and an Azure Kubernetes Services (AKS) inference cluster. You create a tabular dataset containing data that you plan to use to create a classification model. You need to use the Azure Machine Learning designer to...
You plan to use Hyperdrive to optimize the hyperparameters selected when training a model
HOTSPOT You plan to use Hyperdrive to optimize the hyperparameters selected when training a model. You create the following code to define options for the hyperparameter experiment: For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one...
Which visualization should you use?
You are evaluating a completed binary classification machine. You need to use the precision as the evaluation metric. Which visualization should you use?A . scatter plotB . coefficient of determinationC . Receiver Operating Characteristic CROC) curveD . Gradient descentView AnswerAnswer: C Explanation: Receiver operating characteristic (or ROC) is a plot...
Which two modules can you users?
You are analyzing a dataset by using Azure Machine Learning Studio. YOU need to generate a statistical summary that contains the p value and the unique value count for each feature column. Which two modules can you users? Each correct answer presents a complete solution. NOTE: Each correct selection is...
Which code should you use to configure the estimator?
You create a datastore named training_data that references a blob container in an Azure Storage account. The blob container contains a folder named csv_files in which multiple comma-separated values (CSV) files are stored. You have a script named train.py in a local folder named ./script that you plan to run...