.net core Azure Cognitive Services Testing Entity Framework ai
Brisbane, Queensland, Australia
Do you want to try machine learning, but don't want to invest too much time learning a new programming language or some other complicated API?
Microsoft recently launched ML.NET 1.4 which is a great entry point for .NET developers and to gain experience building something with Machine Learning.
With the recent release of ML.NET Model Builder, we can create machine learning models by attempting to import raw data first and over time curate the data, to get better results.
JK will show you how ML.NET works, how to leverage Model Builder, experiment with training data and what to watch out for when building models.
Jernej Kavka (JK) is an SSW Solution Architect, Microsoft AI MVP and organizer of the Brisbane AI user group. JK is a full-stack .NET developer, but his passion lies in Azure Cognitive Services, AI and machine learning. He is the main architect behind SSW's virtual receptionist - SophieAI: https://sswsophie.com
He is also very active in the developer community and enjoys speaking at conferences like NDC, DDD, as well as User Groups and Hack Days.