Data Curation Challenges
The ease of training models today contrasts with the complexities of data collection and curation. Diverse backgrounds and insights are essential for evaluating and stress testing models effectively. Emphasizing community collaboration, it's crucial to welcome various perspectives to enhance the field.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Data Debt in Machine Learning with D. Sculley - #574
Related Questions