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.
Using traditional methods and approaches, migrating large quantities of data to Office 365 can be complex, resource intensive, and slow. Those days are over. Join AvePoint to learn how to automate and speed up your entire migration from more than 10 source systems to Office 365. Drawing from more than a decade of experience, AvePoint will present a new approach: One Click Migration. This session will showcase AvePoint's One Click Migration solution and how it generates high level information architecture (IA), provisions the destination Office 365 IA, and then initiates a full-fidelity migration accordingly. See how this process eliminates business disruption and automates notifications to business users once migration is complete.
The rise of public cloud computing has brought with it a new set of security considerations that are not widely understood. With a unique perspective from working on the security systems of a public cloud, Mark describes public cloud service provider and cloud customer threats, including malicious insiders, shared technology, data breaches, and data loss. For each, he assesses the risks and explores the value of mitigations like encryption-at-rest, encryption-in-flight, and other security best practices, separating hype from reality so that you can make educated decisions as your organization moves to the cloud.