Microsoft Azure Cognitive Services: Anomaly Detector
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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.
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.
Author Name: Reza Salehi
Author Description:
Reza is a cloud consultant and a Microsoft Certified Trainer alumni. He started professional software development and training over two decades ago and is passionate about cloud technologies. Reza continues to help his clients moving to the cloud and loves to share his passion for the cloud with the developers and software architects through training.
Table of Contents
- Course Overview
1min - Machine Learning and Time Series Data
20mins - Working with Azure Cognitive Services Anomaly Detector
40mins
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