Major Breakthroughs from Microsoft Research this Week – in Conversational Speech, FPGA Acceleration & Genomic Sequencing

Reposted from the Microsoft Next blog. This has been a week of extraordinary breakthroughs from Microsoft Research, and this post recaps three major announcements: 1. Historic Achievement: Microsoft Researchers Reach Human Parity in Conversational Speech Recognition Microsoft has made a major breakthrough in speech recognition, creating a technology that recognizes the words in a conversation… Read more

Data Science with Microsoft SQL Server 2016 – Free eBook

Foreword The world around us – every business and nearly every industry – is being transformed by technology. This disruption is driven in part by the intersection of three trends: a massive explosion of data, intelligence from machine learning and advanced analytics, and the economics and agility of cloud computing. Although databases power nearly every… Read more

Jump Start Your Analytics with Cortana Intelligence Solutions

This post is authored by Sachin Chouksey, Principal Software Engineering Manager, and Darwin Schweitzer, Senior Program Manager, at Microsoft. What’s the Problem? Building analytics solutions can consume a lot of time.  Customers who wish to build intelligent solutions on Microsoft’s advanced analytics platform today, for instance, need to navigate through a multitude of options, thanks… Read more

R Tools for Visual Studio 0.5

This post is authored by Shahrokh Mortazavi, Team Lead, Data Science Tools. We’re delighted to announce the availability of RTVS 0.5. Key updates in this release include: Integrated support for SQL and SQL Stored Procedures. Multiple plot windows, plot history with plot thumbnails for navigation. General improvements and bug fixes. SQL Integration SQL databases are… Read more

Two New Utilities to Boost Your Data Science Productivity

This post is authored by Xibin Gao, Data Scientist, Debraj GuhaThakurta, Senior Data Scientist, Gopi Kumar, Principal Program Manager, and Hang Zhang, Senior Data Science Manager, at Microsoft. When presented with a new dataset, the first set of questions data scientists need to answer include: What does the data look like? What’s the schema? What’s… Read more

Busting the 5 myths of AI with the Cortana Intelligence Gallery

This post was authored by Rimma Nehme, Technical Assistant, Data Group at Microsoft. Today, the business potential of Machine Learning and AI is real. Businesses can apply ML and AI to transform, optimize and automate their businesses having previously relied only on human intelligence. You may wonder, ‘how can I apply AI to my business?’… Read more

The Power of Human-in-the-Loop: Combine Human Intelligence with Machine Learning

This post is authored by Yunling Wang, Technical Program Manager in the Data Group at Microsoft. At the Microsoft Machine Learning & Data Science Summit, we announced an exciting ‘human-in-the-loop’ product offering in partnership with CrowdFlower. CrowdFlower is a popular data enrichment and labeling platform that allows data scientist teams to use large-scale human intelligence… Read more

Deep Neural Network in Azure

This post is authored by Anusua Trivedi, Data Scientist, and Jamie F Olson, Analytics Solutions Architect, of Microsoft. This blog is an extension of Part 2 of our blog series. In our earlier blog, we showed how to train a Deep Convolutional Neural Network (DCNN) to classify medical images to detect Diabetic Retinopathy. For training… Read more

Introducing the Team Data Science Process from Microsoft

This post is by Jacob Spoelstra, Data Science Director, Hang Zhang, Senior Data Scientist Manager, and Gopi Kumar, Principal Program Manager in the Data Science Team at Microsoft. Are you building a data science team but unsure how to make the team productive? Are you concerned that the lack of collaboration or consistent processes could… Read more

Data Mining the 2016 Presidential Campaign Finance Data

So you just got yourself a brand new dataset. Now what? How do you prepare a dataset for machine learning? Where do you even begin? This post is an attempt to demystify this process, using a fun example that is of topical interest. Dataset Selection Since we are in the middle of the U.S. presidential… Read more