This post outlines how you can mount a Dataset to a Compute Instance in Azure Machine. This can help exploring file-based datasets in Jupyter, especially for large datasets where download to the disk of the Compute Instance is impractical. Furthermore, this method can also help during exploration phase, where you probably want to read only […]
In last week’s post, we looked into how we can use Automated Machine Learning for building and deploying Models as APIs. This week, we’ll take the same model we have trained, but deploy it to Azure Kubernetes Service (AKS). Machine Learning Model deployment is such a critical task, and using AKS is the production-approved way […]
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 […]
Updated – August 2019: Deployment will now work properly even when including additional pip packages in the Function App! In this post, we’re looking at deploying Azure Functions in Python by using Azure DevOps for Continuous Integration or Continuous Deployment. We’ve already covered how to write Azure Functions in Python in this last post, so […]
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. […]
In this post, we’re looking at writing Azure Functions in Python and walk through the most common usage patterns. Over the past months, I’ve used Azure Functions in nearly every project I’ve been working on. They have come a long way in terms of feature set and language support, and overall offer a great way […]
Over the past year at Microsoft, I worked with a lot of partners and customers to build their customer-facing chatbots on Azure using the Bot Framework. The Bot Framework is Microsoft’s open source framework for building chat- and speech-enabled bots and virtual assistants. This post points out the key differences between Microsoft Bot Framework v3 […]
This post explains how to configure CORS (Cross-origin resource sharing) on Azure Search. Over the past few months, I’ve been using Azure Search in several projects, mostly as an easy and quick way for making semi-structured and unstructured data searchable (e.g., text documents or PDFs). In most cases, Azure Search is used in the backend […]
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 […]
Overview This post is a quickstart tutorial for getting to know what Azure Search is all about. Hence, we’ll walk through the key features of Azure Search and look at how to use them through its REST API. Azure Search is a “search-as-a-service” offering in Azure that allows developers to quickly index and search through […]