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  • Blog Post: Free Webinar Tomorrow: Building Predictive Models with Large Datasets

    Predictive analytics problems often involve large datasets that aren’t manageable on a single local client or even a server machine. This webinar will use the public NYC taxi ride dataset to discuss how to store, manipulate and analyze such large data sets using Azure storage, HDInsight (Hadoop...
  • Blog Post: Video – JJ Food Service Predicts Customers’ Future Orders Using Azure ML

    In a popular earlier post , we had talked about the creative use of cloud analytics at JJ Food Service, a large food delivery service company in the UK. In this video, their Chief Operating Officer, Mushtaque Ahmed, talks about how JJ Food Services tapped into a rich trove of existing data to anticipate...
  • Blog Post: Azure ML Powers the Brain of the Modern Smart Grid

    Our next post in the series on how Microsoft customers are gaining actionable insights on their data through the power of advanced analytics – at scale and in the cloud. What could big data have to do with the reliable flow of electricity? As it turns out – a lot. Electrical grids include...
  • Blog Post: Azure ML: Now With Even More Python!

    This post is authored by Shahrokh Mortazavi, Partner Director of Program Management, Microsoft Azure Machine Learning Hello again Python enthusiasts! In a previous post I discussed how PTVS can be used as a powerful Data Science workbench. I'm very excited to talk about two important new Azure...
  • Blog Post: Laundry Innovator Improves Customer Service Using Cloud Analytics

    We continue our series of posts on how Microsoft customers are gaining actionable insights on their data by operationalizing ML and advanced analytics – at scale and in the cloud. WASH Multifamily Laundry Systems provides outsourced laundry services to apartment buildings, at university housing...
  • Blog Post: Free Webinar Tomorrow: The Cloud Data Science Process

    At this webinar, Microsoft Data Scientists will demonstrate the end-to-end data science process in the cloud using Python, R, a range of Azure cloud technologies, SQL Server, IPython Notebook and more. The process will start from raw data and ends at the point where we have a ready-to-consume web...
  • Blog Post: What Beer to Go with that Burger? Ziosk Can Help

    We continue our series of posts on how Microsoft customers are gaining actionable insights on their data through the power of advanced analytics – at scale and in the cloud. A new tabletop platform from Ziosk will use Microsoft big data and cloud technologies to predict restaurant guests’...
  • Blog Post: Connected Cows? Azure Machine Learning in an Unlikely Place

    Repost from a session delivered by Joseph Sirosh at Strata + Hadoop World in San Jose in February. A surprising conversation about a farmer’s dilemma, a professor’s ingenuity and how the cloud, advanced data analytics and devices all came together to fundamentally re-imagine an age old...
  • Blog Post: Convolutional Neural Nets in Net#

    This blog post is authored by Alexey Kamenev, Software Engineer at Microsoft. After introducing Net# in the previous post , we continue with our overview of the language and examples of convolutional neural nets or convnets. Convnets have become very popular in recent years as they consistently...
  • Blog Post: IoT to Help the Stanford Linear Accelerator Beam Keep Going for the Next 50 Years

    Re-posted from the Microsoft News Center Over its 50-year history, research conducted at the SLAC (Stanford Linear Accelerator Center) has led to the discovery of matter’s fundamental building blocks and unveiled insights into the origin of the universe and the nature of dark energy. The work...
  • Blog Post: Programmatic Retraining of Azure Machine Learning Models

    This post is by Raymond Laghaeian, a Senior Program Manager on Microsoft Azure Machine Learning. Azure ML allows users to publish trained Machine Learning models as web services enabling quick operationalization of their experiments. With the latest release of the Retraining APIs, Azure ML now enables...
  • Blog Post: Free Webinar: An Overview of the New Capabilities in Azure Machine Learning

    We are pleased to bring you a free webinar where we will explore the numerous new capabilities we have introduced in the recently release GA version of Azure ML. This session will be full of examples and demos. There will be time for Q&A as well. The webinar will occur tomorrow, Tuesday March 3rd...
  • Blog Post: Channel 9 Implements The Azure Machine Learning Recommendations API

    Reposted from Channel 9 ML Blog Team
  • Blog Post: VentureBeat: Microsoft gives out free access to its Azure Machine Learning service

    Re-post of an article from VentureBeat earlier this week. "... you’ll welcome a recent development coming out of the PASS Summit in Seattle. Microsoft executives on the scene there announced that the company is opening up Azure Machine Learning to free access. That means you don’t...
  • Blog Post: Strong Partner Momentum Around Microsoft Advanced Analytics

    This post is authored by Garth Fort, General Manager for Enterprise Partners in the Cloud & Enterprise Marketing team at Microsoft. At Strata + Hadoop World yesterday, we announced the general availability of Microsoft Azure Machine Learning (Azure ML), a fully-managed cloud service offering powerful...
  • Blog Post: Announcing the General Availability of Azure Machine Learning

    This blog post is authored by Joseph Sirosh , Corporate Vice President of Information Management & Machine Learning at Microsoft. We built Azure Machine Learning to democratize machine learning. We wanted to eliminate the heavy lifting involved in building and deploying machine learning technology...
  • Blog Post: Big Learning Made Easy – with Counts!

    This post is by Misha Bilenko, Principal Researcher in Microsoft Azure Machine Learning. This week, Azure ML is launching exciting new capability for training on terabytes of data. It is based on a surprisingly simple yet amazingly robust learning algorithm that is widely used by practitioners, yet...
  • Blog Post: Neural Nets in Azure ML – Introduction to Net#

    This blog post is authored by Alexey Kamenev, Software Engineer at Microsoft. Neural networks are one of the most popular machine learning algorithms today. One of the challenges when using neural networks is how to define a network topology given the variety of possible layer types, connections among...
  • Blog Post: Building Web Services with R and Azure ML

    This post is by Raymond Laghaeian, a Senior Program Manager on Microsoft Azure Machine Learning. The support for R in Azure ML allows you to easily integrate existing R scripts into an experiment. From there, you are just a couple of clicks away to publishing your script as a web service. In this...
  • Blog Post: 6 Minutes to Learn How to Get a Cloud-Based IoT Solution Running!

    This post is by Santosh Balasubramanian , a Program Manager in the Microsoft Azure Stream Analytics team Have you ever wondered how to connect cheap devices like Arduino boards or Raspberry Pi’s with off-the-shelf sensors (which measure such things as temperature, light, motion, sound, etc....
  • Blog Post: Popular on KDnuggets: Publish R Code as a Web Service in Just a Few Clicks

    In Case You Missed It: As reported by KDnuggets, one of the most viewed/tweeted -about recent posts on their site was an article by Jaya Mathew, Data Scientist at Microsoft. Jaya talks about how, with Azure ML Studio, users can write R code and – within just a few clicks – publish it as...
  • Blog Post: Download Free O'Reilly Report - Data Science in the Cloud

    Re-post of Stephen Elston’s post on O’Reilly Radar O’Reilly's new report, titled “Data Science in the Cloud, with Azure Machine Learning and R," shows how newer Cloud-based tools, combined with established techniques such as R, make sophisticated ML models accessible...
  • Blog Post: ICYMI - Free Machine Learning and Predictive Analytics Training

    In case you missed it: If you're not a data scientist, but interested in the power of ML and predictive analytics, be sure check out this level 100 Microsoft Virtual Academy course on Azure ML. In a demo-rich format led by entertaining experts Buck Woody, Seayoung Rhee and Scott Klein, you...
  • Blog Post: Announcing Winners of the Azure for Research Awards for ML

    As one part of the Microsoft Azure for Research project we periodically run RFPs and offer awards that grant access to Azure Machine Learning to researchers, instructors and students. The goal of these awards is to facilitate scholarly and scientific research by enabling researchers and instructors to...
  • Blog Post: Dr. Pig - or how Azure ML is helping Chinese pig farmers

    The range of applications where Machine Learning (ML) can be applied never cease to amaze us. Recently, a team in Microsoft China which included an intern whose father raises pigs built a phone app to help small-scale pig farmers decide on the types and quantity of pigs that will maximize their profits...