Tag: azure

AI Azure Cognitive Services Clemens Siebler 

Azure Cognitive Services Containers processing time comparison

Introduction Azure offers a rich set of pre-trained AI models called Cognitive Services which can help you solving a large variety of tasks. For example, services like OCR (Optical Character Recognition), form recognition or Speech-to-Text enable you to automate otherwise labor-intensive business processes. Let’s take invoice processing as an example. Historically, this has been performed […]

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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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Azure Kubernetes Service
Azure Clemens Siebler 

Deploying Internal Applications with private IPs on Azure Kubernetes Service (AKS)

In this post, we’ll look into how we can use Azure’s Kubernetes Service (AKS) to host internal applications without exposing them to the world wide web. Undeniably, Kubernetes gained massive interest of the community over the past years. However, while Kubernetes is often used to run web-facing applications, especially enterprise customers start leveraging Kubernetes for […]

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