Course Hero Logo

Designing-and-Implementing-a-Data-Science-Solution-on-Azure-(DP-100).pdf

Course Hero uses AI to attempt to automatically extract content from documents to surface to you and others so you can study better, e.g., in search results, to enrich docs, and more. This preview shows page 1 - 4 out of 10 pages.

DP-100DP-100 DumpsDP-100 BraindumpsDP-100 Real QuestionsDP-100 Practice TestDP-100 dumps freeMicrosoftDesigning and Implementing a Data Science Solutionon Azure
Question: 114ou use the Two-Class Neural Network module in Azure Machine Learning Studio to build a binary classification model. You use the Tune Model Hyperparameters module totune accuracy for the model. You need to select the hyperparameters that should be tuned using the Tune Model Hyperparameters module. Which two hyperparameters shouldyou use? Each correct answer presents part of the solution. Each correct selection is worth one point. NOTE:
Question: 115HOTSPOT - You are evaluating a Python NumPy array that contains six data points defined as follows: data = [10, 20, 30, 40, 50, 60] You must generate the followingoutput by using the k-fold algorithm implantation in the Python Scikit-learn machine learning library: train: [10 40 50 60], test: [20 30] train: [20 30 40 60], test: [10 50] train:[10 20 30 50], test: [40 60] You need to implement a cross-validation to generate the output. How should you complete the code segment? To answer, select the appropriatecode segment in the dialog box in the answer area. Each correct selection is worth one point. NOTE: Hot Area:
Question: 116You create a binary classification model by using Azure Machine Learning Studio. You must tune hyperparameters by performing a parameter sweep of the model. Theparameter sweep must meet the following requirements: ? iterate all possible combinations of hyperparameters ? minimize computing resources required to perform the sweepYou need to perform a parameter sweep of the model. Which parameter sweep mode should you use?
Question: 117
You are building a recurrent neural network to perform a binary classification. The training loss, validation loss, training accuracy, and validation accuracy of each trainingepoch has been provided. You need to identify whether the classification model is overfitted. Which of the following is correct?A. The training loss stays constant and the validation loss stays on a constant value and close to the training loss value when training the model.B. The training loss decreases while the validation loss increases when training the model.C. The training loss stays constant and the validation loss decreases when training the model.

Upload your study docs or become a

Course Hero member to access this document

Upload your study docs or become a

Course Hero member to access this document

End of preview. Want to read all 10 pages?

Upload your study docs or become a

Course Hero member to access this document

Term
Fall
Professor
Mohammad Alizadeh
Tags
Regression Analysis, Azure Machine Learning Studio

Newly uploaded documents

Show More

Newly uploaded documents

Show More

  • Left Quote Icon

    Student Picture

  • Left Quote Icon

    Student Picture

  • Left Quote Icon

    Student Picture