Bring your laptop to this session! Azure Machine Learning Studio simplifies machine learning experimentation. In this hands-on tutorial, we will go through the end-to-end process of building, evaluating, fine-tuning and deploying a scalable predictive modelling web service using Azure Machine Learning Studio. By the end of the tutorial, attendees will have a deployed predictive modeling UI of their own, similar to one of these: http://demos.datasciencedojo.com/. All attendees will go through the following hands-on exercises:
• Exploring, visualizing and cleaning a dataset • Building and fine-tuning a predictive model • Evaluating and comparing predictive models • Deploying a predictive model as a full managed, scalable web service • Exposing the deployed predictive model as a web UI.
Organizations need to collaborate to achieve their business goals, but with increased openness and accessibility of data, organizations now face a number of security challenges. Learn how to use Azure RMS to share data securely and track the use or abuse of shared data.
Most enterprise level websites are plagued with legacy applications that don't directly port into cloud services. Azure VM's allow you to quickly move your existing infrastructure into the cloud to take advantage of its benefits. In this talk, we will examine the migration of Microsoft's ASP and IIS websites into Azure.