Blog - Title

Machine Learning

  • 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...
  • In ML, What They Know Can Hurt You

    This blog post is authored by Juan M. Lavista, Principal Data Scientist at Microsoft. Imagine you own a restaurant in a city (any city but not Seattle * ). From inside the restaurant there’s no way to see the outside. You come up with a marketing...
  • 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...
  • 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...
  • 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...
  • 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...
  • 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...
  • 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...
  • 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...
  • 5 lucrative tech careers to pursue in 2015

    Re-post from a recent article featured on Looking to make the biggest bucks in the fastest growing industry? There are two crystal clear - albeit unsurprising - commonalities among the top 10 highest paying jobs in the tech industry. If you want...
  • 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...