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 of Azure Stream Analytics, a fully managed cloud service for real-time processing of streaming data. This new… Read more

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 actionable predictions. The Cloud Data Science Process… Read more

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 feature ranker that is compatible with both classification… Read more

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. This webinar discusses some end-to-end solutions offered on the Marketplace today, including… Read more

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 demonstrate industry best practices and common building blocks used… Read more

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 more. In that context, we are excited to announce the launch of a new… Read more

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 sponsors. I’m excited to share that for 2015,… Read more

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 to welcome the Revolution team to Microsoft. Together we… Read more

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 amounts. An analysis of the data… Read more

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-ML repository, in the KDDCup and Kaggle contests and on ImageNet…. Read more