Discover the main features and capabilities of Machine Learning, including anomaly detection, automated ML, pipelines, and more. Learn how these elements drive the power of modern AI technology.
Table of Contents
Question
What are the main features and capabilities of Machine Learning?
Please select all options that apply.
A. Anomaly Detection
B. Pipelines
C. Object Detection
D. Automated machine learning
E. Azure Machine Learning designer
F. Text Analytics
G. Data and compute management
Answer
B. Pipelines
D. Automated machine learning
E. Azure Machine Learning designer
G. Data and compute management
Explanation
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
Options A is incorrect. Anomaly Detection – is one of the key elements of Artificial Intelligence, and it is not a feature of Machine Learning.
Option C is incorrect. Object Detection – is one of the common tasks of Computer Vision and is not part of Machine Learning.
Options G is incorrect. Text Analytics – is a feature of Natural language processing and is not a part of Machine Learning.
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