Imagine reducing your training time for an epoch from 30 minutes to 30 seconds, and testing many different hyper-parameter weights at the same time. Available now in public preview, Batch AI is a new service that helps you train and test deep learning and other AI or machine learning models with the same scale and flexibility used by Microsoft’s data scientists.
Azure Distributed Data Engineering Toolkit - a open source python CLI tool that allows you to provision on-demand Spark clusters and submit Spark jobs directly from your CLI.
We are very pleased to announce the Public Preview of the CSV format support for the Azure Consumption and Charge Usage Detail API. In Aug 2017, we released the generally available version of the Azure Consumption and Charge APIs with JSON format support.
If you are interested in Hive LLAP Interactive query, please try HDInsight Tools for VSCode; if you are looking for data warehouse query experiences for you big data, please try HDInsight Tools for…
Today at Microsoft Ignite, we are pleased to announce the preview of several new and compelling capabilities in Azure Stream Analytics. These include built-in inline machine learning based anomaly…
In July, we released the Azure Analysis Services web designer. This new browser-based experience allows developers to start creating and managing Azure Analysis Services (AAS) semantic models quickly…
Customers who monitor real-time data can now easily detect events or observations that do not conform to an expected pattern thanks to machine learning-based anomaly detection in Azure Stream Analytics, announced for private preview today.
We used reinforcement learning and CNTK to train a neural network to guess hidden words in a game of Hangman. Our trained model has no reliance on a reference dictionary: it takes as input a variable-length, partially-obscured word (consisting of blank spaces and any correctly-guessed letters) and a binary vector indicating which letters have already been guessed. In the git repository associated with this post, we provide sample code for training the neural network and deploying it in an Azure Web App for gameplay.
Serverless is all the rage, now you can get in on the action using R! Azure Function supports a variety of languages (C#, F#, js, batch, PowerShell, Python, php and the list is growing). However R is not natively supported. In the following blog we describe how you can run R scripts on Azure Function using the R site extension.
This notebook serves as a tutorial for beginners looking to apply deep learning in predictive maintenance domain.