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  • Blog Post: 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 the right ML algorithm can be daunting for both...
  • Blog Post: 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 acquisition, segmentation, messaging, cross selling...
  • Blog Post: 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 Maintenance template is now available in Azure...
  • Blog Post: 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 of unstructured text to one or more classes from...
  • Blog Post: 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 one: No we don't store photos, we don't share...
  • Blog Post: 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 was to increase internal awareness of the tool...
  • Blog Post: 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 Guest Access to Azure ML Studio. You do not need...
  • Blog Post: 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 solution provider, and they help their customers...
  • Blog Post: 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 people, many of who are active contributors...
  • Blog Post: 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. Nevertheless, what if you need more, or maybe...
  • Blog Post: 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 categories, filtering email spam, performing...
  • Blog Post: 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 modules in it, copy the same, then open another experiment...
  • Blog Post: 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 Cloud and Enterprise group) as well as a few helpful...
  • Blog Post: 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, and model data of various shapes and forms to produce...
  • Blog Post: 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 used in random forests, we developed a model-agnostic...
  • Blog Post: 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 machine learning into your ideas and applications...
  • Blog Post: 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 from Azure ML sample experiments – they...
  • Blog Post: 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, topic modeling/extraction, aspect extraction and...
  • Blog Post: 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 year with over two thousand attendees and one hundred...
  • Blog Post: 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 locations (longitude-latitude), cab fare and tip...
  • Blog Post: 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 closed the acquisition agreement. It is my pleasure...
  • Blog Post: 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 such as the many datasets available in the UCI...
  • 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...