Data Science Walkthrough with SQL Server 2017 and Microsoft Machine Learning Services

This post is authored by Xibin Gao, Wei Guo, and Debraj GuhaThakurta at Microsoft. Microsoft Machine Learning Services were a key highlight of our SQL Server 2017 CTP 2.0 release in April this year. It allows Python scripts to run within SQL Server or be embedded in SQL scripts and be deployed as stored procedures. This… Read more

Microsoft AI – Now Serving Critical Care Patients, Water-Insecure Populations in Africa, Bank Customers in New Zealand & Many More

New customers are benefiting from Microsoft’s Artificial Intelligence offerings at a record pace  – here’s a look at some of the latest. Saving the Lives of Patients in Critical Care A large part of our current healthcare system is geared towards treating patients only after they have fallen quite sick. While it would clearly be… Read more

Now Serving: More AI with Your Big Data

Re-posted from the Microsoft SQL Server blog. Earlier today, at Build 2017, we made a string of announcements to further help developers and customers around the planet create breakthrough experiences through the power of artificial intelligence and big data. There were 3 major themes to these announcements: 1. AI at the Heart of the Microsoft… Read more

Optimizing Intelligent Apps Using Machine Learning in SQL Server

Re-posted from the Azure blog. SQL Server 2016 introduced a new function called R Services, bringing machine learning capabilities to the platform, and the next version of SQL Server will further extend this with support for Python. These new capabilities – of running R and Python in-database and at scale – let developers keep their… Read more

Using Microsoft’s Deep Learning Toolkit with Spark on Azure HDInsight Clusters

This post is authored by Miruna Oprescu, Software Engineer, and Mary Wahl, Data Scientist at Microsoft Have you ever wondered what it would be like to combine the power of deep learning with the scalability of distributed computing? Say no more! We present a solution that uses leading-edge technologies to score images using a pre-trained… Read more

Text Mining to Improve the Health of Millions of Citizens

By Kenji Takeda, Director of Azure for Research at Microsoft. Doctors face daily decisions about the best care for their patients, and their own clinical experience can be enhanced using evidence-based medicine, such as through clinical trial data. As David Tovey, Editor-in-Chief, Cochrane, explained, “Before evidence-based medicine came along, people were reliant on the expertise… Read more

Latest Rev of Utilities for Microsoft Team Data Science Process (TDSP) Now Available

This post is authored by Hang Zhang, Senior Data Science Manager, Xibin Gao, Data Scientist, and Wei Guo, Data Scientist, of Microsoft. We are excited to announce the release of version 0.12 of the Microsoft Team Data Science Process utilities. We had earlier released Team Data Science Process (TDSP) back in September 2016, along with… Read more

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

Announcing Data Science Utilities Version 0.11, for the Team Data Science Process

This post is authored by Hang Zhang, Senior Data Scientist Manager, Gopi Kumar, Principal Program Manager, and Xibin Gao, Data Scientist, at Microsoft. Back in September 2016, we released an early public preview of Team Data Science Process (TDSP), with the goal of supporting secure collaboration within enterprise data science organizations, with capabilities such as… Read more

Speeding Up Azure ML Web Services Containing R or Python Modules

This post is authored by Danil Kirsanov, Senior Developer at Microsoft. Response time is one of the critical parameters of a deployed Azure Machine Learning web service (see this walkthrough for information on how to create an Azure ML experiment and deploy a web service). In this post, we discuss one of the ways to… Read more