How Feature Engineering Still Beats Fancy Architectures

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2026-09-04 05:26:10 - Traduzir

There is a persistent narrative in machine learning that better results come from building bigger models and adopting increasingly sophisticated architectures. Add more layers, switch to a transformer, or tune countless hyperparameters, and performance is expected to improve. In many real-world projects, that assumption quickly breaks down. Teams often spend weeks experimenting with complex...

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