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.
In an increasingly connected world, the "New Normal" is for applications to integrate with one or more cloud services. Whether you are creating web applications or native client applications, Visual Studio makes it easier to discover and consume these services in your existing applications. This video provides an overview of the options for connecting to services in Visual Studio and walkthrough the experience of connecting an existing application to a service.