Predict the 2014 U.S. Elections and more – at Microsoft Prediction Lab

Microsoft Prediction Lab lets you make predictions about upcoming events and view the combined predictions of the crowd! Go ahead and predict every Senate, House and Gubernatorial race out there. Weigh in on a range of other topics, e.g. foreign affairs, social issues, science, technology and more. Your predictions get integrated into our crowd forecasts,… Read more

Azure ML is Helping CMU Become More Energy Efficient

Posted by Vinod Anantharaman, head of business strategy, Microsoft Information Management and Machine Learning (IMML). Buildings are powered by multiple systems such as heating, cooling, lighting, ventilation, security and more, each of which affect occupant comfort and energy consumption. Traditionally, each system comes with its own sensors, actuators and the like, and some of these… Read more

Vowpal Wabbit Modules in AzureML

This post is authored by Sudarshan Raghunathan, Principal Development Lead for modules in the Microsoft Azure ML Studio team based in Cambridge, MA. In his blog post last month, John Langford wrote about the open source Vowpal Wabbit (VW) machine learning (ML) system. He highlighted some of the main advantages of VW, e.g. its performance… Read more

Video – ThyssenKrupp Uses Predictive Analytics to Give Burgeoning Cities a Lift

This is our second post in a series on how Microsoft customers are gaining actionable insights on data by operationalizing ML at scale in the cloud. Based on an IoT (Internet of Things) case study, this post is by Vinod Anantharaman, Head of Business Strategy at Microsoft’s Information Management and Machine Learning (IMML) team. Urban… Read more

Online Learning and Sub-Linear Debugging

This blog post is authored by Paul Mineiro, Research Software Developer at Microsoft. Online learning algorithms are a class of machine learning (ML) techniques that consume the input as a stream and adapt as they consume input. They are often used for their computational desirability, e.g., for speed, the ability to consume large data sets,… Read more

KDD – Two Themes

This blog post is authored by Jacob Spoelstra, Director of Data Science at the Information Management & Machine Learning (IMML) team at Microsoft. The recently concluded KDD conference reaffirmed its claim as the premier conference for Data Science, for both theory and practice, as evidenced by the sold-out crowd of over 2000 that packed the… Read more

Extensibility and R Support in the Azure ML Platform

This blog post is authored by Debi Mishra, Partner Engineering Manager in the Information Management and Machine Learning team at Microsoft. The open source community practicing machine learning (ML) has grown significantly over the last several years with R and Python tools and packages especially gaining adoption among ML practitioners. Many powerful ML libraries have… Read more

Microsoft Machine Learning Hackathon 2014

This blog post is authored by Ran Gilad-Bachrach, a Researcher with the Machine Learning Group in Microsoft Research. Earlier this summer, we had our first broad internal machine learning (ML) hackathon at the Microsoft headquarters in Redmond. One aspect of this hackathon was a one-day competition, the goal of which was to work in teams… Read more

From Stumps to Trees to Forests

This blog post is authored by Chris Burges, Principal Research Manager at Microsoft Research, Redmond. In my last post we looked at how machine learning (ML) provides us with adaptive learning systems that can solve a wide variety of industrial strength problems, using Web search as a case study. In this post I will describe… Read more

Video – Pier 1 Imports Uses Azure ML to Build a Better Relationship with their Customers

This is the first in a series of posts on how Microsoft customers are gaining actionable insights on their data by operationalizing Machine Learning at scale in the cloud. With over 1,000 stores, Pier 1 Imports aims to be their customers’ neighborhood store for furniture and home décor. But the way customers are shopping is… Read more