Category: Azure

Automated Machine Learning Architecture
AI Azure Machine Learning Clemens Siebler 

Using Automated Machine Learning for building and deploying Models as APIs

In this post we’ll look into using Azure Automated Machine Learning for deploying Machine Learning Models as APIs into production. As an example, we will be training and deploying a simple text sentiment analysis service, using the IMDB reviews dataset¬†(subsampled to 1000 examples). We will achieve this by building the following architecture: In detail, we […]

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AI Azure Cognitive Services Clemens Siebler 

Anomaly Detection on Time-Series Data with Azure

Anomaly detection on time-series data is a crucial component of many modern systems like predictive maintenance, security applications or sales performance monitoring. It allows to detect events, that look suspicions or fall outside the distribution of the majority of the data points. This post explains how to perform anomaly detection on time-series data with Azure. […]

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Azure Machine Learning Overview
Azure Machine Learning Clemens Siebler 

The New Azure Machine Learning Services

Introduction Last week at Ignite 2018, Microsoft released a public preview of their new Azure Machine Learning Services. The outcome is a much easier to understand and clearer product portfolio for everything that evolves around building custom Machine Learning models, including: Data handling and cleaning Model training and testing (including automated training) Model deployment and […]

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