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You need to predict the sea level in meters for the next 10 years.
Which type of machine learning should you use?
In the most basic sense, regression refers to prediction of a numeric target.
Linear regression attempts to establish a linear relationship between one or more independent variables and a numeric outcome, or dependent variable.
You use this module to define a linear regression method, and then train a model using a labeled dataset. The trained model can then be used to make predictions.
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression
Regression is a form of machine learning that is used to predict a numeric label based on an item's features.
A smart device that responds to the question. "What is the stock price of Contoso, Ltd.?" is an example of which Al workload?
Which two components can you drag onto a canvas in Azure Machine Learning designer? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
You can drag-and-drop datasets and modules onto the canvas.
https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer
You are building a Language Understanding model for an e-commerce business.
You need to ensure that the model detects when utterances are outside the intended scope of the model.
What should you do?
TheNoneintent is filled with utterances that are outside of your domain.
https://docs.microsoft.com/en-us/azure/cognitive-services/LUIS/luis-concept-intent
Topic 5, Describe features of conversational AI workloads on Azure
Which OpenAI model does GitHub Copilot use to make suggestions for client-side JavaScript?
