Lara Rubbelke brings her passion for architecting, implementing, and improving SQL Server solutions to the community as a Principal Program Manager for Microsoft. As of 2012, Lara is also bringing this passion to the PASS Board of Directors.
Many know Lara from her work on the EPM Framework, a popular solution to extend Policy Based Management to the enterprise. Her expertise involves both OLTP and OLAP systems, data management, performance tuning, encryption, ETL, and the BI lifecycle. She is an active board member of the Minnesota PASS Chapter and regularly delivers technical presentations at user groups, for webcasts, and at local, regional, and national conferences. She has presented at TechEd, PASS Summit, and the SQL Server Launch and delivers webcasts on MSDN and TechNet. Before joining Microsoft, Lara was a Microsoft Most Valuable Professional (MVP).
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.