Learn how Azure Machine Learning designer enables you to easily build machine learning models by adding and connecting modules on an intuitive visual canvas.
Table of Contents
Question
Azure Machine Learning designer lets you create machine learning models by __________ .
A. adding and connecting modules on a visual canvas.
B. automatically performing common data preparatio tasks.
C. automatically selecting an algorithm to build the most accurate models.
D. using a code-first notebook experience.
Answer
A. adding and connecting modules on a visual canvas.
Explanation
Azure Machine Learning designer provides a drag-and-drop visual interface for creating machine learning models without needing to write code. You build models by adding various modules to a canvas, such as data ingestion, transformation, algorithm training, and evaluation modules. The modules have configurable settings and are connected together to define the end-to-end model training pipeline.
While Azure ML designer does have some modules for common data preparation tasks, it does not automatically perform these steps for you (eliminating option B). It also does not automatically select the best algorithm, as the choice of algorithm module is up to the user (eliminating option C). Finally, Azure ML designer is a visual, drag-and-drop experience and not a code-first notebook environment (eliminating option D).
In summary, Azure Machine Learning designer empowers both technical and non-technical users to build ML models via its easy to use visual interface and pre-built, connectable modules. This enables a wider audience to leverage the power of machine learning.
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