Room 4 

10:20 - 11:20 


Talk (60 min)

Machine Learning simplified for Developers with ML.NET

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? We will look at ML from a developer's perspective. We start by prototyping our solution with the help of ML.NET Model Builder, tweak it with elementary data science knowledge, and finally generate code that we can use in our applications. In the end, we will not only learn how to make our own machine learning but also how to apply simple data science to improve our model.

Machine Learning

Jernej Kavka

Jernej Kavka (JK) is a Microsoft AI MVP, SSW Solution Architect, and organizer of several user groups like AI Hack Days and Global AI The Podcast. 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:

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.