Machine Learning Street Talk (MLST) cover image

Prof. BERT DE VRIES - ON ACTIVE INFERENCE

Machine Learning Street Talk (MLST)

00:00

Navigating Active Inference and Machine Learning

This chapter explores the complexities of machine learning, particularly through the lens of active inference and variational message passing. It discusses the critical trade-offs between speed and accuracy in automated inference processes, while also addressing the educational challenges of engaging new engineers in probabilistic programming. Emphasizing the importance of foundational concepts like Bayesianism, the conversation seeks to democratize access to these advanced methodologies for greater real-world application.

Transcript
Play full episode

The AI-powered Podcast Player

Save insights by tapping your headphones, chat with episodes, discover the best highlights - and more!
App store bannerPlay store banner
Get the app