Introduction to Azure Machine Learning

 
Spanish Introductory and Overview DATA & AI

On this session we will get to know Azure Machine Learning, what is its purpose and how does it fit on the Azure ecosystem. Also we will go hands on a high level introduction of its features to follow by jumping into all of the different ways of creating a Machine Learning Model in the different ways that this data science platform provides. At the end of the session you will know and understand Azure Machine Learning, its purpose, functionalities and will be able to use it.

Speaker

Jose Luis Latorre Millas

Microsoft MVP & International Speaker, Software developer and architect at Swiss Life focused in the cloud and passionate about .NET, Azure, AI, UI and OSS.

Jose is a Microsoft MVP & International Speaker who works as a .NET engineer/architect developing Azure Cloud solutions, with a focus on Performance, Profiling, performance testing & Software Architecture. He also loves UI/UX, mostly with XAML-based technologies - he was a Silverlight MVP - which shows passion and skills for this field. He enjoys sharing his knowledge and having fun while doing so, either at user group talks, conferences, and trainings. He works at Swiss Life as Developer Community Lead & Software Architect.

Code of Conduct

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Who does this Code of Conduct apply to?

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Code of Conduct for local live streams

We expect local organizers to set up and enforce a Code of Conduct for all Global Azure live stream.

A good template can be found at https://confcodeofconduct.com/, including internationalized versions at https://github.com/confcodeofconduct/confcodeofconduct.com. An excellent version of a Code of Conduct, not a template, is built by the DDD Europe conference at https://dddeurope.com/2020/coc/.