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Microsoft Azure Cognitive Services: Anomaly Detector

Do you need to find abnormalities in your time series data before it is too late? This course will teach you to do so using Azure Cognitive Services Anomaly Detector service.

Reza Salehi - Pluralsight course - Microsoft Azure Cognitive Services: Anomaly Detector
by Reza Salehi

What you'll learn

Finding abnormalities in time series data is critical for many systems, yet a tricky task. In this course, Microsoft Azure Cognitive Services: Anomaly Detector, you’ll learn to easily analyse your data for abnormalities using the Anomaly Detector service. First, you’ll explore the meaning of time series data and the role of machine learning to find abnormalities. Next, you’ll discover how to provision and configure Azure Cognitive Services Anomaly Detector. Finally, you’ll learn how to call the service using both the REST API and the .NET SDK. When you’re finished with this course, you’ll have the skills and knowledge of Azure Cognitive Services Anomaly Detector needed to easily detect time series data abnormalities and act on them before it is too late.

Table of contents

About the author

Reza Salehi - Pluralsight course - Microsoft Azure Cognitive Services: Anomaly Detector
Reza Salehi

Reza, is a Microsoft Azure and Amazon AWS architect, developer and trainer. He continues helping his clients with cloud-native solutions while sharing his expertise with other developers through training and mentoring.

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