ML Lifecycle: Annotation to Deployment, and Pragmatic Decision-Making
Friday, 17. May 2024– Gurten Pavillon
Description
Explore the full ML lifecycle, covering content annotation to model deployment and drifting evaluation. Gain practical insights into when to use machine learning and crucial considerations for effective implementation. Join us for a concise exploration of key aspects in the world of machine learning.