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.
This blog will demonstrate end-to-end data science workflow for predictive maintenance using PySpark.
Spikes or steps in the telemetry of your app can now be easily diagnosed. When you use Application Insights Analytics to explore app metrics over time, sudden changes, such as spikes or dips, are highlighted. With one click, Smart Diagnostics will find a pattern (a series of data with common values) that correlates with the change, and explain the reason behind it.
Today we’re excited to announce a quick and easy way for the moderately technical user to get started with a pre-bundled visual analytics & big data solution running on Microsoft Azure: The Tableau/Cloudera Quickstart, built by Slalom
Azure Data Lake Tools for VSCode provides you light weight, keyboard focused and cross-platform IDE. It runs smoothly in Windows, Linux and Mac. ADL Tools for VSCode supports U-SQL language authoring,…
Today, we are announcing the public preview of metrics in the Job Diagram for data driven monitoring and troubleshooting of Azure Stream Analytics jobs.
Since SQL Server 2016, a new function called R Services has been introduced. Microsoft recently announced a preview for the next version of SQL Server, which extends the advanced analytical ability to Python. This new capability of running R or Python in-database at scale enables us to keep the analytics services close to the data and eliminates the burden of data movements.
We are excited to announce that H2O’s AI platform is now available on Azure HDInsight Application Platform. Customers can now use H2O.ai’s Sparkling Water solution on a HDInsight cluster along with Azure’s collection of cloud services. Together, the H2O team and Azure HDInsight team will integrate technologies to deliver enterprises the best business solutions and to build relationships within the open analytics community.