Developing Solutions with Azure Machine learning studio

 
Greek (Greece) Introductory AI & Machine Learning

In this session, we are going to see how to use the designer and the Azure ML SDKs and CLI to quickly prep data, train and deploy machine learning models. We will see how several Azure Machine Learning features work like multiple framework support and advanced ML capabilities like automated machine learning and pipeline support.

Speaker

Georgia Kalyva

Microsoft AI MVP, Web Applications Developer, B.Sc, MSP, MCP

Georgia Kalyva has graduated from the University of Piraeus, is a Microsoft AI MVP with years of experience in software engineering and is currently working for ITT as Web Applications Developer. She is passionate about AI and Azure and has represented Greece in global competitions in Technology and Entrepreneurship (1st place in the 2012 Athens Startup Weekend competition, 1st place in Microsoft Imagine Cup 2013, where she represented our country in the world finals in Russia, 1st place in Business Apps OpenHack 2018 and more). She is a member of the Microsoft Student Partners team and has taken over the role of mentor in several Microsoft competitions and trainings.

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