Intel® Processor Graphics have made tremendous generational improvements. While adding features and performance our process leadership has allowed us to simultaneously drive down TDP enabling incredibly dense form factors. This session explores how processor graphics technologies enable the ecosystem to take advantage of our rendering, compute and media advances. Intended Audience: OEMs, ODMs, IDHs, Driver Developers.
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.
Noah will provide an overview of storage in Windows Azure, including how to store, access, manage, and secure data in Azure. Noah will talk about how to use Windows Azure Storage in traditional applications as well as how to design applications using "cloud thinking".
Speaker: Noah Benedict Managing Consultant, Catapult Systems