In this episode, host Jonathan “J.” Tower speaks with Luis Quintanilla about ML.NET, an open-source, cross-platform machine learning framework within the .NET ecosystem. They delve into the capabilities of ML.NET, including building data transformation pipelines and training custom models. Luis explains how ML.NET simplifies the machine learning process for .NET developers, making it accessible without needing extensive data science expertise. Tune in to learn how ML.NET can help you incorporate machine learning into your .NET applications efficiently and effectively.

Guest Bio:

Luis Quintanilla is a Program Manager at Microsoft, based in New York, with a deep focus on machine learning and software development. He currently works on ML.NET, helping .NET developers train, test, and use machine learning models in their applications. Outside of work, he enjoys experimenting with different technologies and sharing his insights with the broader tech community.