Discover how Azure’s Automated Machine Learning empowers users without data science backgrounds to create robust ML models effortlessly. Explore the simplicity of model building with Azure’s automation.
Table of Contents
Question
What Machine Learning feature does help people without any data science experience to create an Azure ML model from data?
A. Azure Machine Learning designer
B. Pipelines
C. Automated machine learning
D. Object Detection
E. Anomaly Detection
F. Text Analytics
G. Data and compute management
Answer
C. Automated machine learning
Explanation
The Machine Learning feature that aids individuals without data science experience to create an Azure ML model from data is C. Automated machine learning. This feature streamlines the model building process by automating tasks like feature selection, algorithm selection, and hyperparameter tuning, making it accessible to users with limited data science expertise.
Microsoft Machine Learning is the foundation for Artificial Intelligence service. It includes four features and capabilities:
Automated machine learning—automated creation of ML models based on your data; doesn’t require any data science experience.
Azure Machine Learning designer—a graphical interface for no-code creation of the ML solutions
Data and Compute management—cloud-based tools for data science professionals,
Pipelines—visual designer for creating ML tasks workflow
Option E is incorrect. Anomaly Detection—is one of the key elements of Artificial Intelligence, and it is not a feature of Machine Learning.
Option D is incorrect. Object Detection—is one of the common tasks of Computer Vision and is not part of Machine Learning.
Option G is incorrect. Text Analytics—is a feature of Natural language processing and is not a part of Machine Learning.
All other options are incorrect.
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