Blog - Title

Machine Learning

  • Free Webinar: Introduction to Azure Data Factory

    In a fast changing data landscape where unstructured and structured data originate from many cloud and on-premises sources, Azure Data Factory (ADF) lets you process on-premises data such as SQL Server alongside cloud data such as Azure SQL DB, blobs...
  • Publishing Azure ML Web Services From Jupyter Notebooks

    This post is authored by Raymond Laghaeian, Senior Program Manager at Microsoft. Azure ML lets you build and deploy web services that expose machine learning models as RESTful APIs. With the release of the Azure ML APIs through the Python SDK, we bring...
  • Introducing Jupyter Notebooks in Azure ML Studio

    Posted by Shahrokh Mortazavi, Partner Director of Program Management at Microsoft. Azure ML Studio is a powerful canvas for the composition of machine learning experiments and their subsequent operationalization and consumption. Although the Studio...
  • Announcing PTVS 2.2

    This post is by Steve Dower, a Software Engineer on Microsoft’s Python tools. On Monday we released Python Tools for Visual Studio 2.2 (PTVS), the latest iteration of our free open-source extension that brings Python to the powerful Visual Studio...
  • Azure ML for Teaching

    Re-posted from this article by Dr Kenji Takeda of Microsoft Research Some of the world’s best ML researchers got together at ICML 2015 in Lille, France, recently. Many conversations at the Microsoft ICML booth gravitated towards using Azure ML...
  • Free Webinar: Energy Forecasting in Smart Grids

    Demand forecasting is a critical task for the energy industry. Building a reliable forecasting mechanism, however, presents huge challenges, requiring major investments in data collection, storage, model building, data flow automation and more. The...
  • Informatica & Cognizant Embrace the Microsoft Cortana Analytics Suite

    This post is authored by Joseph Sirosh , Corporate Vice President of Information Management & Machine Learning at Microsoft. Yesterday, at the Microsoft Worldwide Partner Conference (WPC), Satya Nadella announced the Cortana Analytics Suite –...
  • Getting started with Azure Data Catalog

    Today at the World Wide Partner Conference, we officially announced public preview of the Azure Data Catalog. A fully managed service in the cloud that empowers any user from data scientist and data developer to data analyst to register, enrich, discover...
  • Announcing the new Cortana Analytics Suite from Microsoft

    Earlier today, at our Worldwide Partner Conference (WPC) in Orlando, our CEO Satya Nadella announced the new Cortana Analytics Suite as part of his keynote address. Data, as we all recognize, can be a huge differentiator for any businesses –...
  • Announcing the Public Preview of Azure Data Catalog

    This post is authored by Joseph Sirosh , Corporate Vice President of Information Management & Machine Learning at Microsoft. As one more important step towards our commitment to deliver a world-class cloud analytics platform, I am thrilled to announce...
  • PyData Conference in Seattle

    Here in the Azure Machine Learning team we live and breathe two scripting languages: R and Python . We’re working on exciting products that will advance the state of the art in how data scientists employ these languages and their stacks. Both...
  • Microsoft Research at ICML, Lille

    Microsoft Research is a proud Gold Sponsor of this year’s International Conference on Machine Learning ( ICML ), taking place in the beautiful city of Lille, France. For more than 20 years, Microsoft has been at the forefront in building state of...
  • Free Webinar: Building Predictive Maintenance Solutions with Azure ML

    Predictive maintenance is a technique to predict when a machine will fail, so that maintenance can be planned for in advance. The concept applies to a very wide range of applications. This webinar will walk you through a real-world example of how to formulate...
  • Microsoft Joins the R Consortium

    By Joseph Sirosh, Corporate Vice President, Information Management & Machine Learning, Microsoft R is a rapidly evolving language for statistical data analysis that’s driving innovation in the field of data sciences. Microsoft is part of...
  • Azure Machine Learning for Engineers

    This blog post is authored by Daniel Grecoe, Senior Software Engineer at Microsoft. We hosted an interesting webinar last week where we introduced machine learning to software engineers. ML presents new concepts that can be hard for engineers without...
  • Solving the KDD Cup 2015 Challenge Using Azure ML

    This post is by Hang Zhang and Chirag Dhull of the Microsoft Information Management & Machine Learning team. Each year the KDD Cup brings the data science community together to compete for a coveted leaderboard spot, awarded at the annual KDD conference...
  • Who’s Your Doppelganger? #TwinsOrNotRobot Will Tell You

    Often hear you look just like someone else? Or you just know you look like a certain celebrity? Now you can just ask #TwinsOrNotRobot and find out for yourself! A few weeks ago we introduced TwinsOrNot as a demo at //build/tour . The site lets you select...
  • Label Quality for Machine Learning

    This blog post is authored by Omar Alonso, a Senior Data Scientist Lead at Microsoft. To subscribe to this blog, click here . Every successful chef will tell you that a key part of preparing a great meal is how you source your ingredients. The same...
  • Microsoft Machine Learning & Data Science Conference

    The spring 2015 edition of the Machine Learning & Data Science (MLDS) Conference for Microsoft employees concluded two weeks ago. This conference, which is held twice yearly, is a key part of the vibrant community around ML and data science within...
  • ML Predicts School Dropout Risk & Boosts Graduation Rates

    The next post in our series on how customers are gaining actionable insights on their data through the power of Microsoft advanced analytics – at scale and in the cloud. Can software predict which students are at risk for dropping out? Till not...
  • Free Webinar: Azure ML for Software Engineers

    Specifically targeted at software engineers, this session is designed to demystify ML and data science, help you understand key concepts and tap into the power of cloud machine learning. We will build an end-to-end solution to an ML problem as part of...
  • The Azure Stream Analytics Query Language

    This post is by Janet Yeilding, a Program Manager on the Azure Stream Analytics team, and is based on a recent session from the Microsoft Advanced Analytics webinar series . Azure Stream Analytics (ASA) is a cloud service that enables real-time processing...
  • How Azure ML Helps Mendeley Engage the World’s Researchers

    Our next post in the series on how customers are gaining actionable insights on their data through the power of Microsoft advanced analytics – at scale and in the cloud. Scientists and researchers log on to Mendeley’s web site to access...
  • Revolution R Open – Latest Update Now Available for Free Download

    We are pleased to announce that the latest update to Revolution R Open, RRO 3.2.0, is now available for download from MRAN. Among other things, this release includes the latest R engine (which has several improvements), multi-threaded math processing...
  • Choosing a Learning Algorithm in Azure ML

    This post is by Brandon Rohrer, Senior Data Scientist at Microsoft. Machine Learning libraries seek to put state-of-the-art tools into the hands of data scientists, offering dozens of algorithms, each with their strengths and weaknesses. But choosing...