Data Over Model
It's crucial to prioritize data quality over model complexity when striving for improved accuracy. Even with advanced algorithms, poorly labeled data can cap performance. Exploring transfer learning can be a strategic way to leverage existing powerful models trained on larger datasets, providing a potential pathway to better outcomes.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
826: In Case You Missed It in September 2024 — with Jon Krohn (@JonKrohnLearns)
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