Azure AI Fundamentals: Study Guide and Practice Exam for the Microsoft AI-900 Exam by David Voss & David Voss

Author:David Voss & David Voss [Voss, David]
Language: eng
Format: azw3, epub
Published: 2020-08-08T16:00:00+00:00

Chapter 6 – Describe the Capabilities of No-Code Machine Learning with Azure Machine Learning

In the following section, we will describe the capabilities of the following:

Automated Machine Learning Tool

Azure Machine Learning Designer

Automated Machine Learning Tool

Azure Machine Learning allows anyone to create and customize models via a user interface (non-CLI). The UI is leveraged throughout the ML process until deployment. Here are a few examples:

Visualize your data to identify trends.

Receive insight into inconsistencies or errors within the data along with recommended actions to resolve the issues.

Build highly accurate models by leveraging automated features, algorithms, and hyperparameter selection.

Leverage intelligent stopping to minimize compute costs.

Leverage built-in capabilities for classification, regression, and deep learning support.

View metrics visualizations to help you compare model performance.

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