Azure IoT Hub is a scalable, multi-tenant cloud platform (IoT PaaS) that includes an IoT device registry, data storage, and security. It also provides a service interface to support IoT application development. Learn how Azure IoT Suite helps you securely connect millions of Linux, iOS, Android, Windows, and real-time operating system (RTOS) devices to reliably send telemetry and receive commands from your application back-end in the cloud.
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.