Harness the power of data science with an introductory deep dive into machine learning on the Microsoft cloud. In two hours, we will provide a technical overview of Azure Machine Learning studio and demo different ways to build and deploy predictive models.
Azure Machine Learning offers a collaborative workspace for training, deploying, and managing predictive models on the cloud. Learn how data scientists and data engineers use this platform to build customized business solutions.
We will provide an overview of the Azure Machine Learning studio as well as three different, live demos:
This webinar is designed for a technical audience already familiar with the basics of cloud computing and machine learning methods. Some demos will heavily feature Python, which is helpful to have an understanding of in order to follow along.
A webinar recording and resources to the hands-on labs will be shared with all attendees following the event.
Nick Miller, Senior Data Scientist
Nick is a Senior Data Scientist at BlueGranite with over 20 years of experience as a Navy logistics officer, high-tech manufacturing systems analyst, and supply chain analytics consultant. A life-long learner, he incorporates the latest trends in Supply Chain AI and leverages an MBA and Master of Science in Statistics to create innovative solutions that provide high business value.
Leif Christensen, Solution Consultant
Leif is a Solution Consultant at BlueGranite with experience designing and implementing Azure Data Factory workflows and Power BI dashboards for the Financial Services and Healthcare industries. Leif graduated from the University of Washington with a Bachelors of Science degree in Computer Science and attended the United States Air Force Academy. Leif has experience with the unique needs of credit union mergers and acquisitions.
Notice to all public sector or state-owned entity employees - Federal (including Military), State, Local, and Public Education.
This is a Microsoft partner event. Should items of value (e.g. promotional items) be disbursed to event participants, these items will be available at no charge to attendees. Please check with your ethics policies before accepting items of value.