Which of the following is false about train data and test data in Azure ml studio?
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---
title: "Train and deploy your first model with Azure ML"
author: "David Smith"
date: "`r Sys.Date()`"
output: rmarkdown::html_vignette
vignette: >
%\VignetteIndexEntry{Train and deploy your first model with Azure ML}
%\VignetteEngine{knitr::rmarkdown}
\use_package{UTF-8}
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In this tutorial, you learn the foundational design patterns in Azure Machine Learning. You'll train and deploy a Generalized Linear Model to predict the likelihood of a fatality in an automobile accident. After completing this tutorial, you'll have the practical knowledge of the R SDK to scale up to developing more-complex experiments and workflows.
In this tutorial, you learn the following tasks:
* Connect your workspace
* Load data and prepare for training
* Upload data to the datastore so it is available for remote training
* Create a compute resource
* Train a caret model to predict probability of fatality
* Deploy a prediction endpoint
* Test the model from R
##Prerequisites
If you don't have access to an Azure ML workspace, follow the [setup tutorial](https://azure.github.io/azureml-sdk-for-r/articles/configuration.html) to configure and create a workspace.
##Set up your development environment
The setup for your development work in this tutorial includes the following actions:
* Install required packages
* Connect to a workspace, so that your local computer can communicate with remote resources
* Create an experiment to track your runs
* Create a remote compute target to use for training
To run this notebook in an Azure ML Compute Instance, visit the [Azure Machine Learning studio](https://ml.azure.com) and browse to
Notebooks > Samples > Azure ML gallery > Samples > R > Which of the following is false about train data and test data in Azure ML Studio Course Hero?Ans : Parametrising Webservice URL. The correct answer is option fourth. Servicing the application through a single prediction web service is possible through__Parametrising Webservice URL.
Which of the following is not one of the Azure ml studio features?ML Studio (classic) does not support Code SDKs, ML pipeline, Automated model training and has a basic model for MLOPs and many other features were missing that is a part of Azure Machine Learning Studio now.
What is training data and test data in ML?In machine learning, datasets are split into two subsets. The first subset is known as the training data - it's a portion of our actual dataset that is fed into the machine learning model to discover and learn patterns. In this way, it trains our model. The other subset is known as the testing data.
What is train set and test set in ML?The previous module introduced the idea of dividing your data set into two subsets: training set—a subset to train a model. test set—a subset to test the trained model.
What is the Azure cloud service that provides an environment for users to train and test machine learning models called?Azure Machine Learning is a cloud service for accelerating and managing the machine learning project lifecycle. Machine learning professionals, data scientists, and engineers can use it in their day-to-day workflows: Train and deploy models, and manage MLOps.
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