Learn how to use Azure Machine Learning, a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations benefit from massive data sets. Visit Azure Machine Learning Documentation to learn more.
This provides an overview of the Azure Machine Learning Service. A browser based workbench for the data science workflow, which includes authoring, evaluating and publishing predictive models. Visit Azure Machine Learning Documentation to learn more.
This video introduces Azure Machine Learning Studio, a visual tour of the Azure Machine Learning studio workspaces and collaboration features. Visit What is Azure Machine Learning Studio? to learn more.
This service will walk you through all the steps required to publish a service from Azure Machine Learning into the Azure Marketplace. Visit Publish Azure Machine Learning Web Service to the Azure Marketplace to learn more.
Data Access is the first step of data science workflow. Azure Machine Learning supports numerous ways to connect to your data. This video illustrates several methods of data ingress in Azure Machine Learning. Visit Import training data to learn more.
This is the first video in a 9 part video series that walks through creating a Windows Store Blog Reader app. This quick video introduces the series and gives you an overview the content that will be covered. Step-by-Step tutorial from dev.windows.com Blog Reader complete code
In his latest DevNugget, Developer Evangelist G. Andrew Duthie takes you into the exciting world of action filters in ASP.NET MVC 3, and demonstrates how MVC 3 implements the HandleError action filter in the default internet application template, and how you can override this default behavior and…
In this session we take a tour of the capabilities of the Microsoft cloud platform by building and running a simple service using the platform SDK. The sample service highlights some of the features of the platform including service management, storage,
and an integrated developer experience. This…
Hear about key problems that cloud computing is solving and how these services fit into the Microsoft cloud computing initiatives. Learn about the pillars of the platform, its service lifecycle, and see how they fit with both Microsoft and non-Microsoft
technologies. Also, hear about the services…
Hear a review of the core components of the Microsoft Advertising Platform, how the core components fit together, and our roadmap. Get the information you need to decide whether to use the platform for monetization or tools creation.