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...

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Does the solution meet the goal?

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you...

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Does the solution meet the goal?

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you...

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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:...

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What should you do?

HOTSPOT You need to configure the Permutation Feature Importance module for the model training requirements. What should you do? To answer, select the appropriate options in the dialog box in the answer area. NOTE: Each correct selection is worth one point. View AnswerAnswer: Explanation: Box 1: 500 For Random seed,...

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How should you configure the Clean Missing Data module?

HOTSPOT You need to replace the missing data in the AccessibilityToHighway columns. How should you configure the Clean Missing Data module? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. View AnswerAnswer: Explanation: Box 1: Replace using MICE Replace using MICE:...

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What should you implement?

You plan to use a Deep Learning Virtual Machine (DLVM) to train deep learning models using Compute Unified Device Architecture (CUDA) computations. You need to configure the DLVM to support CUDA. What should you implement? A. Intel Software Guard Extensions (Intel SGX) technology B. Solid State Drives (SSD) C. Graphic...

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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...

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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...

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Which method should you use?

You are conducting feature engineering to prepuce data for further analysis. The data includes seasonal patterns on inventory requirements. You need to select the appropriate method to conduct feature engineering on the data. Which method should you use?A . Exponential Smoothing (ETS) function.B . One Class Support Vector Machine moduleC...

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