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.
Tom Weinandy, Senior Data Scientist
Dr. Tom Weinandy is a Senior Data Scientist and Business Economist specializing in data analytics and machine learning for industrial settings. His background experience is in nonprofits and education. Tom holds a bachelor’s in Social Entrepreneurship from John Carroll University, an M.B.A. from Wheeling Jesuit University, and a Ph.D. in Applied Economics from Western Michigan University with his dissertation entitled "Applied Microeconomics and Business Intelligence in the Digital Age.”
Nick Miller, Senior Consultant
Nick is a Senior Consultant 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.
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.