Blog - Title

Machine Learning

  • 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...
  • Free Webinar: Using LifeData® APIs on Azure ML for Marketing Analytics

    At this webinar, Chris Maty, CEO of Versium, a Microsoft partner, will discuss their LifeData® APIs and why they made them available on the Azure Marketplace. LifeData® delivers deep customer insights that help marketers with targeting, customer...
  • New Predictive Maintenance Template in Azure ML

    This blog post is authored by Yan Zhang, Data Scientist at Microsoft. Following the publishing of three Azure ML template solutions for online Fraud Detection, Retail Forecasting, and Text Classification, we are now pleased to announce that the Predictive...
  • Free Webinar: Intro to Azure Stream Analytics

    Learn about one of the cool technologies powering the viral http://how-old.net/# demo. If you aren’t among the tens of millions who have tried that demo, essentially it lets you upload a picture and have it analyzed by the Face API – available...
  • Azure ML Text Classification Template

    This blog post is authored by Mohamed Abdel-Hady, Senior Data Scientist at Microsoft. Automatic text classification – also known as text tagging or text categorization – is a part of the text analytics domain. Its goal is to assign a piece...
  • Fun with ML, Stream Analytics and PowerBI – Observing Virality in Real Time

    This post is authored by Corom Thompson and Santosh Balasubramanian, Engineers in Information Management and Machine Learning at Microsoft Updated 5/2/2015 We've had some questions so we updated this post to be more clear. To answer the top...
  • March Madness - My First Azure ML Experience

    This post is by Adam Garland, Senior Software Engineer on the Office Core Platform at Microsoft. The Azure ML team recently hosted an internal March Madness competition to showcase their service. Besides just plain fun, the purpose of the competition...
  • Guest Access, Guided Tour & Experiment Tutorial

    This blog post is authored by Hai Ning, Principal Program Manager Lead at Microsoft. Introducing a brand new way for you to experience Azure Machine Learning Studio – and without signing in at all! We have just enabled free, no-strings-attached...
  • How ML Accelerates Claim Automation & Revenue at GAFFEY Healthcare

    This post is co-authored by Muxi Li, Data Scientist, and Danielle Dean, Senior Data Scientist Lead at Microsoft. Machine learning can help modern businesses utilize their data to become more profitable. GAFFEY Healthcare is a leading healthcare technology...
  • Pycon 2015 Recap

    This post is by Steve Dower , Software Engineer on Python Tools at Microsoft. Those of us fortunate enough to be at PyCon 2015 in Montreal got a chance to attend some amazing talks, sprints and tutorials and also the opportunity to meet several interesting...
  • Build Your Own R Modules in Azure ML

    This post is by Roope Astala, Senior Program Manager in Microsoft’s Information Management and Machine Learning team. Azure ML currently offers almost 100 modules to solve a wide spectrum of data science problems that our customers may encounter...
  • Free Webinar: Creating Text Analytics Solutions in Azure ML

    The goal of text classification is to categorize pieces of text into one or more predefined categories. Text classification has many applications in the real world, for instance, categorizing news articles into topics, organizing web pages into hierarchical...
  • Copying Azure ML Experiments Across Workspaces

    This post is authored by Hai Ning, Principal Program Manager Lead at Microsoft. We recently introduced the ability to easily copy experiments from one Azure ML workspace to another. Our earlier versions would let you open an experiment, select all...
  • Free ebook: Azure Machine Learning

    We’re happy to announce the release of our free Microsoft Press ebook on Azure Machine Learning , by Jeff Barnes. Click here to read the original MSDN post about this ebook, including a foreword by Scott Guthrie (Executive Vice President of the...
  • Announcing the General Availability of Azure Stream Analytics

    This post is authored by Joseph Sirosh , Corporate Vice President of Information Management & Machine Learning at Microsoft. As part of our ongoing commitment to deliver a world-class data platform, I am thrilled to announce the general availability...
  • The Cloud Data Science Process

    This post is by Mona Soliman Habib, Principal Data Scientist in the Information Management & Machine Learning team at Microsoft. Data scientists solve real life business problems by applying a broad set of technical skills to explore, transform...
  • Permutation Feature Importance

    This blog post is authored by Said Bleik, Data Scientist at Microsoft. We are pleased to announce the addition of a new feature importance module to Azure ML Studio, namely Permutation Feature Importance (PFI). Inspired by the randomization technique...
  • Free Webinar Tue Apr 14 - The Azure ML Marketplace

    The Azure ML Marketplace fulfils our team’s vision of making data science more accessible to everyone – even those without a data science background – by providing turnkey solutions that allow you to incorporate advanced analytics and...
  • Exciting New Templates in Azure ML!

    This post is by Xinwei Xue, Senior Data Scientist at Microsoft We are excited to announce the availability of three new templates in Azure ML Studio – for online fraud detection, retail forecasting and text classification . Templates are different...
  • Introducing Text Analytics in the Azure ML Marketplace

    This blog post is authored by Nagender Parimi, Software Engineer at Microsoft. Understanding and analyzing unstructured text is an increasingly popular field and includes a wide spectrum of problems such as sentiment analysis, key phrase extraction...
  • PyCon 2015: April 8-16

    This post is by Steve Dower , Software Engineer on Python Tools at Microsoft. This week, Azure ML’s Python team and representatives from across Microsoft will be heading to PyCon Montreal . This conference is the largest Python gathering each...
  • Microsoft Closes Acquisition of Revolution Analytics

    This blog post is authored by Joseph Sirosh , Corporate Vice President of Information Management & Machine Learning at Microsoft. Earlier this year we announced our intent to acquire Revolution Analytics and today I’m happy to say we have...
  • Building Azure ML Models on the NYC Taxi Dataset

    This blog post is by Girish Nathan, a Senior Data Scientist at Microsoft. The NYC taxi public dataset consists of over 173 million NYC taxi rides in the year 2013. The dataset includes driver details, pickup and drop-off locations, time of day, trip...
  • Now Available on Azure ML – Criteo's 1TB Click Prediction Dataset

    This post is by Misha Bilenko, Principal Researcher in Microsoft Azure Machine Learning. Measurement is the bedrock of all science and engineering. Progress in the field of machine learning has traditionally been measured against well-known benchmarks...