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.
Every business considering Lync looks at the business case to purchase and deploy differently based on its particular vertical industry, internal environment, and communication strategy and goals. Join us to see how to develop a business case for Lync and get insight into real world examples of how customers in multiple industries have developed successful business cases to deploy Lync, including examples of areas for cost savings for different types or organizations._x000D_