IMML at Grace Hopper, Houston

This post is authored by Rama Raman, Senior Software Engineer, and Rhonda Phillips, Program Manager, at Microsoft. The Microsoft Information Management & Machine Learning (IMML) team had a strong presence at the Grace Hopper Conference, held recently in Houston. Here’s a short post highlighting some of our team’s activities there. Booth & Presentations Monica Kei,… Read more

Cortana Analytics Workshop – Decks, Videos & More

For those of you who missed it, the first Cortana Analytics Workshop, held in Redmond last month, was a smashing success. The sold-out event saw attendees from over 300 companies and 35 different countries, including many Microsoft System Integrator (SI) and Independent Software Vendor (ISV) partners. In this post we capture a flavor of the event… Read more

Microsoft expands availability of Project Oxford intelligent services

Posted by Ryan Galgon, Senior Program Manager in the Technology & Research group at Microsoft. Earlier this year, we announced Project Oxford, a set of APIs, SDKS and services available to developers to make their applications more intelligent, engaging and discoverable. Project Oxford expands upon Microsoft’s portfolio of machine learning APIs and enables developers to… Read more

A Data Scientist’s Perspective on Azure Machine Learning

Posted by Lixun Zhang, Data Scientist at Microsoft. Before using Azure ML, I’ve had experience with statistical models and ML techniques using R, Python, and SAS. When I first got exposed to Azure ML, there were three burning questions in my mind. After much exploration, I found my answers and have summarized them in this… Read more

Machine Learning Forms the Core of Data Science

This guest post is by the faculty of our Data Science MOOC, Dr. Stephen Elston, Managing Director at Quantia Analytics & Professor Cynthia Rudin from M.I.T. Machine learning forms the core of data science and predictive analytics. Creating good ML models is a complex but satisfying undertaking. Aspiring data scientists can improve their ML knowledge… Read more

OpenField Uses Cortana Analytics to Get Ahead in the Marketing Game

This post is co-authored by Ye Xing, Senior Data Scientist, Benjamin Moulès, Developer Evangelist, Peng Xia, Data Scientist, and Tao Wu, Principal Data Scientist Manager at Microsoft.  Beyond evoking passion among fans around the globe, professional soccer is also big business. Top clubs draw tens of thousands of fans into stadiums each game and their… Read more

New Template for Retail Customer Churn Prediction

This post is authored by Xinwei Xue, Senior Data Scientist at Microsoft. We are pleased to announce the availability of our newest template, for retail customer churn prediction. This is the latest addition to our existing set of templates which include online fraud detection, retail forecasting, text classification and predictive maintenance. The term customer churn,… Read more

MS Ventures Accelerator Seattle Opens Applications for ML & Data Science Startups

The Microsoft Ventures Accelerator in Seattle has opened applications for its newest batch of startups, and our focus this third time around is on machine learning and data science startups. With the huge explosion of data all around us, it’s not surprising that data science is starting to permeate numerous industries today. The underlying technologies… Read more

Getting Dollars from Data: Fueling Business Value with Data Science

This blog post is authored by Brandon Rohrer, Senior Data Scientist at Microsoft. Data has dollar value. Gasoline has horsepower. Extracting both takes some care. Data: Fuel We start with data, the gasoline of data science. Although we hear the phrase “big data” a lot, quantity isn’t everything. If it were, we would just fill… Read more

Behind the Scenes of Azure Data Lake: Bringing Microsoft’s Big Data Experience to Hadoop

Originally posted on the Microsoft Azure blog by Raghu Ramakrishnan, Technical Fellow on the Microsoft Data Platform team. Microsoft just announced the Azure Data Lake, a set of big data storage and analytics services let you perform all types of processing and analytics on data of any size or shape and across multiple platforms and… Read more