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  • Blog Post: Anomaly Detection – Using Machine Learning to Detect Abnormalities in Time Series Data

    This post was co-authored by Vijay K Narayanan , Partner Director of Software Engineering at the Azure Machine Learning team at Microsoft. Introduction Anomaly Detection is the problem of finding patterns in data that do not conform to a model of “normal” behavior. Detecting such deviations...
  • Blog Post: Embracing Uncertainty – Probabilistic Inference

    This is the second of a 2-part blog post by Chris Bishop , Distinguished Scientist at Microsoft Research. The first part is available here . Last week we explored the key role played by probabilities in machine learning, and we saw some of the advantages of arranging for the outputs of a classifier...
  • Blog Post: Embracing Uncertainty – the Role of Probabilities

    This is the first of a 2-part blog post by Chris Bishop , Distinguished Scientist at Microsoft Research. The second part was later posted here . Almost every application of machine learning (ML) involves uncertainty. For example, if we are classifying images according to the objects they contain,...
  • Blog Post: Video - Joseph Sirosh Interview with theCUBE at BigDataNYC 2014

    Joseph Sirosh was recently interviewed in NYC by Dave Vellante and Jeff Frick on theCube . He covers a lot of ground including suggestions for aspiring data scientists, the great opportunity on the Azure marketplace and also the future of machine learning and Azure ML Check out the video below. ...
  • Blog Post: Video - Joseph Sirosh Keynote: "A New Data Science Economy" at Strata + Hadoop 2014

    Be sure to check out Joseph's keynote talk below, under 10 minutes long, summarizing how, in the emerging new Data Science Economy, data scientists are able to monetize their skills - at scale, in the cloud - just like app developers have been able to do for several years now. Joseph blogged about...
  • Blog Post: Web Services and Marketplaces Create a New Data Science Economy

    This blog post is authored by Joseph Sirosh , Corporate Vice President of Machine Learning at Microsoft. Yesterday, at Strata + Hadoop World , we announced the expansion of our data services with support of real-time analytics for Apache Hadoop in Azure HDInsight and new machine learning (ML) capabilities...
  • Blog Post: Distributed Cloud-Based Machine Learning

    This post is authored by Dhruv Mahajan , Sundararajan Sellamanickam and Keerthi Selvaraj , Researchers at Microsoft’s Cloud & Information Services Lab (CISL) and at Microsoft Research. Enterprises of all stripes are amassing huge troves of data assets, e.g. logs pertaining to user behavior...
  • Blog Post: 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...
  • Blog Post: 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...
  • Blog Post: 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. B ased on an IoT (Internet of Things) case study , this post is by Vinod Anantharaman, Head of Business Strategy at Microsoft's Information Management...
  • Blog Post: 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...
  • Blog Post: 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...
  • Blog Post: 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...
  • Blog Post: 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...
  • Blog Post: 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...
  • Blog Post: Machine Learning, meet Computer Vision – Part 2

    This blog post is co-authored by Jamie Shotton , Antonio Criminisi and Sebastian Nowozin of Microsoft Research, Cambridge, UK. In our last post , we introduced you to the field of computer vision and talked about a powerful approach, classifying pixels using decision forests, which has found broad...
  • Blog Post: Vowpal Wabbit for Fast Learning

    This blog post is authored by John Langford , Principal Researcher at Microsoft Research, New York City. Vowpal Wabbit is an open source machine learning (ML) system sponsored by Microsoft. VW is the essence of speed in machine learning, able to learn from terafeature datasets with ease. Via parallel...
  • Blog Post: In Conversation with John Platt

    You’ve heard from John Platt a few times on this site, including his introductory post on What is Machine Learning? and this piece where he talks about Twenty Years of Machine Learning at Microsoft . Larry Larsen from Channel 9 recently got the opportunity to have an in-depth conversation with...
  • Blog Post: Machine Learning, meet Computer Vision

    This is part 1 of a 2 part series, co-authored by Jamie Shotton , Antonio Criminisi and Sebastian Nowozin of Microsoft Research, Cambridge, UK. The second part was later posted here . Computer vision, the field of building computer algorithms to automatically understand the contents of images, grew...
  • Blog Post: Machine Learning and Text Analytics

    The following post is from Dr. Ashok Chandra , Distinguished Scientist at Microsoft Research and Dhyanesh Narayanan , Program Manager at Microsoft Research When I (Ashok) was a student at the Stanford Artificial Intelligence Laboratory in the 70’s, there was great optimism that human-level machine...
  • Blog Post: Users Embrace Azure ML Public Preview

    This blog post is authored by Roger Barga , Group Program Manager for Microsoft Azure Machine Learning Last month we announced Microsoft Azure Machine Learning and, this week, we made it available for public preview at our Worldwide Partner Conference 2014 (WPC) . There was a lot of excitement and...
  • Blog Post: How Azure ML Partners are Innovating for their Customers

    This blog post is authored by Joseph Sirosh , Corporate Vice President of Machine Learning at Microsoft. Last week, Microsoft announced a preview release of Azure Machine Learning (Azure ML) which is now available for customers and partners to try. Azure ML is a fully managed service in the cloud...
  • Blog Post: Machine Learning for Industry: A Case Study

    This blog post is authored by Chris Burges , Principal Research Manager at Microsoft Research, Redmond. Hi, I’m Chris Burges. Over my last 14 years at Microsoft, and my previous 14 at Bell Labs, I’ve spent much of my time dabbling with machine learning (ML), with some of that time spent...
  • Blog Post: Recommendations Everywhere

    This blog post is authored by Thore Graepel , Principal Researcher at Microsoft. Good recommendations are needed everywhere. Whether you are looking for a movie you might enjoy watching or a book that you might enjoy reading or even suggestions for people with similar interests who you could connect...
  • Blog Post: Twenty Years of Machine Learning at Microsoft

    This blog post is authored by John Platt , a Distinguished Scientist at Microsoft Research. People may not realize it: Microsoft has more than twenty years of experience in creating machine learning systems and applying them to real problems. This experience is much longer than the recent buzz around...