How We Share Machine Learning Knowledge at Microsoft

We recently concluded the Fall 2014 edition of our Practice of Machine Learning Conference (PMLC). Over 1,700 Microsoft employees attended the two day event, which featured 60 talks on a broad spectrum of areas ranging from new algorithms to ML applications such as anomaly detection and fraud. Tutorials covered such topics as feature engineering, labeling,… Read more

Microsoft Research Grants Available for Azure, Including Machine Learning

This article is a re-post from the Microsoft Research Connections Blog. A year ago, the Microsoft Azure for Research project began as a small effort to help external researchers and scientists (and Microsoft) understand how the cloud could accelerate research insights. The project enables researchers to take advantage of cloud computing for collaboration, computation, and… Read more

VentureBeat: Microsoft gives out free access to its Azure Machine Learning service

Re-post of an article from VentureBeat earlier this week. "… you’ll welcome a recent development coming out of the PASS Summit in Seattle. Microsoft executives on the scene there announced that the company is opening up Azure Machine Learning to free access. That means you don’t need to plug in your credit card information if… Read more

Azure Event Hubs now commercially available

Yesterday, we announced the commercial availability of Azure Event Hubs. In the IoT (Internet of Things) world that we live in, ever large amounts of telemetry data are being emitted by multiple distinct sources such as sensors and applications embedded into things that we use or interact with every day. Azure Event Hubs allows for… Read more

Microsoft adds free tier to Azure Machine Learning

Starting today, we made it easier than ever for anyone to try Azure Machine Learning. Our service is now available to test free of charge without a subscription or credit card – all you need to get going is a Microsoft account! You can read more about this announcement, made at the PASS Summit this… Read more

Anomaly Detection – Using Machine Learning to Detect Abnormalities in Time Series Data

This post was co-authored by Vijay K Narayanan, Partner Director of Software Engineering at the Azure Machine Learning team at Microsoft. Introduction Anomaly Detection is the problem of finding patterns in data that do not conform to a model of “normal” behavior. Detecting such deviations from expected behavior in temporal data is important for ensuring… Read more

ZDNet: Microsoft takes wraps off preview of its Azure Data Factory service

Re-post of a ZDNet article earlier this week by Mary Jo Foley. Microsoft takes wraps off preview of its Azure Data Factory service Summary: Another new Microsoft Azure service now in preview is aimed at helping developers integrate and get insights from their disparate data sources more easily. http://www.zdnet.com/microsoft-takes-wraps-off-preview-of-its-azure-data-factory-service-7000035197/… Read more

The Ins and Outs of Azure Stream Analytics – Real-Time Event Processing

Earlier this week, at TechEd Europe 2014 in Barcelona, we announced the preview of Azure Stream Analytics. Azure Stream Analytics is a cost-effective event processing engine that helps uncover real-time insights from devices, sensors, infrastructure, applications and data quickly and easily. Learn about the ins and outs of this new service here. ML Blog Team… Read more

The Ins and Outs of Azure Data Factory – Orchestration and Management of Diverse Data

Earlier this week, at TechEd Europe 2014 in Barcelona, we announced the preview of Azure Data Factory. Azure Data Factory enables information production by orchestrating and managing diverse data. Learn about the ins and outs of this new service here. ML Blog Team… Read more