On-Demand Webinar – AI Development Using Data Science VMs (DSVM), Deep Learning VMs (DLVM) & Azure Batch AI

This post is authored by Barnam Bora, Program Manager in the Cloud AI group at Microsoft. Microsoft’s Data Science Virtual Machines (DSVM) and Deep Learning Virtual Machines (DLVM) are a family of popular VM images in Windows Server and Linux flavors that are published on the Azure Marketplace. They have a curated but broad set… Read more

Using Azure and AI to Explore the JFK Files

This post is by Corom Thompson, Principal Software Engineer at Microsoft. On November 22nd, 1963, the President of the United States, John F. Kennedy, was assassinated. He was shot by a lone gunman named Lee Harvey Oswald while driving through the streets of Dallas in his motorcade. The assassination has been the subject of so much controversy that, 25 years ago, an… Read more

Artificial Intelligence and Machine Learning on the Cutting Edge

This post is authored by Ted Way, Senior Program Manager at Microsoft. Today we are excited to announce the ability to bring intelligence to the edge with the integration of Azure Machine Learning and Azure IoT Edge. Businesses today understand how artificial intelligence (AI) and machine learning (ML) are critical to help them go from… Read more

Free Webinars in November – Learn from Big Data & Machine Learning Applications in Healthcare

Join us for a set of exciting webinars starting next Tuesday, November 14th, at which we’ll show you how data science and machine learning are being applied in the medical field. You will be able to take the learnings from these webinars to use Azure Machine Learning, Azure Data Lake and Hadoop Spark clusters in… Read more

The Microsoft Team Data Science Process (TDSP) – Recent Updates

This post is authored by Xibin Gao, Data Scientist, Wei Guo, Data Scientist, Brad Severtson, Senior Content Developer, and Debraj GuhaThakurta, Senior Data Scientist Lead, at Microsoft What is TDSP Improving the efficiency of developing and deploying data science solutions requires an efficient process to complement the data platforms and data science tools that you… Read more

How Stack Overflow Can Use Microsoft AI to Empower Every Developer

This post is authored by Anand Raman, Chief of Staff for the Cloud AI team at Microsoft. Artificial Intelligence has emerged as one of the most disruptive forces behind the digital transformation of business. Soon, most enterprises will depend on AI to enhance decision making, reinvent business models and ecosystems, and remake the customer experience…. Read more

Ignite 2017: Announcing Tools for AI-Driven Digital Transformation

Re-posted from the Microsoft Azure blog. Artificial Intelligence (AI) has emerged as one of the most disruptive forces behind the digital transformation of business. Earlier today, at Microsoft Ignite 2017, where we are in conversations about digital transformation with over 25,000 customers and partners, Joseph Sirosh, Corporate Vice President for Cloud Artificial Intelligence, shared the… Read more

Using the Team Data Science Process (TDSP) in Azure Machine Learning

This post is authored by Wei Guo, Data Scientist, Hai Ning, Principal PM Manager, Xibin Gao, Data Scientist, Brad Severtson, Senior Content Developer, and Debraj GuhaThakurta. Senior Data Scientist Lead, at Microsoft. In this post, we describe how the Team Data Science Process (TDSP) project structure and documentation templates can be instantiated and used in… Read more

Data Transformations “By Example” in the Azure Machine Learning Workbench

This post is authored by Ranvijay Kumar, Senior Program Manager at Microsoft. In this post, I talk about the Derive Column By Example transformation – an unexpected, powerful and super-efficient way to perform complex data transformations in the Azure Machine Learning Workbench. Imagine you’re head chef at a boutique restaurant where meals are prepared by… Read more

Deploying Machine Learning Models using Azure Machine Learning

This post is authored by Raymond Laghaeian, Principal Program Manager at Microsoft. Azure Machine Learning provides command line interfaces (CLIs) for deploying and managing machine learning models. CLIs provide an easy way to deploy trained ML models as web service APIs which you can use in web, mobile, and line-of-business applications. This includes running the… Read more