Model Validation Strategies
The discussion delves into the importance of validating models, particularly in sentiment analysis. It raises critical questions about whether practitioners are merely spot-checking results or employing rigorous test sets to evaluate performance. The challenges and preparedness for these validation efforts are also explored, highlighting the necessity of thorough evaluation in machine learning projects.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Scaling BERT and GPT for Financial Services with Jennifer Glore - #561
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