Announcing R Tools 1.0 for Visual Studio 2015

This post is authored by Shahrokh Mortazavi, Partner Director of Program Management at Microsoft. I’m delighted to announce the General Availability of R Tools 1.0 for Visual Studio 2015 (RTVS). This release will be shortly followed by R Tools 1.0 for Visual Studio 2017 in early May. RTVS is a free and open source plug-in… Read more

Retail Customer Churn Prediction: How-To Guide Now Available

This post is authored by Lixun Zhang, Data Scientist, Daisy Deng, Software Engineer, and Tao Wu, Principal Data Scientist Manager, at Microsoft. Predicting customer churn rate is among the most sought-after machine learning and analytics applications for retail stores, and of high value to companies that are eager to take advantage of the ever-increasing amounts… Read more

End-to-End Data Science Walkthrough with Spark 2.0 on Azure HDInsight Hadoop Clusters

This post is authored by Debraj GuhaThakurta, Senior Data Scientist, and Brad Severtson, Senior Content Developer, at Microsoft. The data scientists among you would have seen how Spark 2.0, which released in July 2016, offered several enhancements over Spark 1.6. These enhancements included: Easier ANSI SQL and more streamlined APIs. Improvements in the speeds of… Read more

Take Advantage of Scalable Cloud Compute Directly from Your R Session, with doAzureParallel

Re-posted from the Azure blog. For users of the R language, scaling up their work to take advantage of cloud compute has generally been a complex undertaking. We are therefore excited to announce doAzureParallel, a lightweight R package built on Azure Batch that allows you to easily use Azure’s flexible compute resources right from your… Read more

Microsoft Data Amp – New Online Event, on April 19th

Re-posted from the Microsoft SQL Server blog. We are excited to announce a new online event that will take place next month, Microsoft Data Amp. Scott Guthrie, Executive Vice President for Cloud + Enterprise, and Joseph Sirosh, Corporate Vice President, Data Group, will share exciting new announcements around the investments we are making in machine… Read more

Microsoft AI Immersion Workshop in Seattle – May 9th, 2017

The Microsoft AI Immersion Workshop, to be held in Seattle on May 9th, 2017, is a FREE pre-event to Microsoft Build 2017. The Workshop is a special opportunity for advanced developers interested in creating the next generation of intelligent apps, including enterprise-grade solutions, that use the very latest AI and Machine Learning techniques. Experienced Microsoft… Read more

Build & Deploy Machine Learning Apps on Big Data Platforms with Microsoft Linux Data Science Virtual Machine

This post is authored by Gopi Kumar, Principal Program Manager in the Data Group at Microsoft. This post covers our latest additions to the Microsoft Linux Data Science Virtual Machine (DSVM), a custom VM image on Azure, purpose-built for data science, deep learning and analytics. Offered in both Microsoft Windows and Linux editions, DSVM includes… Read more

Virtual Reality Games, Digital Signs & Swedish Apartments Get a Boost with Microsoft AI & Machine Learning

A peek at recent customer stories involving the application of Microsoft AI, Big Data & Machine Learning. Your Voice is the Controller in an Immersive New VR Game from Human Interact Human Interact is a VR storytelling startup based in Champaign, Illinois, and Starship Commander is one their newest VR games. One of the goals… Read more

Quick-Start Guide to the Data Science Bowl Lung Cancer Detection Challenge, Using Deep Learning, Microsoft Cognitive Toolkit and Azure GPU VMs

This post is by Miguel Fierro, Data Scientist, Ye Xing, Senior Data Scientist, and Tao Wu, Principal Data Scientist Manager, all at Microsoft. Since its launch in mid-January, the Data Science Bowl Lung Cancer Detection Competition has attracted more than 1,000 submissions. To be successful in this competition, data scientists need to be able to… Read more

Cloud-Scale Text Classification with Convolutional Neural Networks on Microsoft Azure

This post is by Miguel Fierro, Ilia Karmanov, Thomas Delteil, Andreas Argyriou, and Max Kaznady, all Data Scientists at Microsoft. Natural Language Processing (NLP) is one of the fields in which deep learning has made significant progress. Specifically, the area of text classification, where the objective is to categorize documents, paragraphs or individual sentences into… Read more