Your Model Isn’t the Problem. Your Data Is.

Most ML problems don't need a better model. They need better data.

I broke down why
the training vs real-world performance gap, where 80–90% of ML work actually lives, and what to fix before you ever touch the architecture.

Check it out on LinkedIn 👇

Most ML problems don’t need a better model. They need better data. You can: Tune hyperparameters Try new architectures Add more layers But if the data is noisy, biased or incomplete nothing really… | Sreehari S J

Most ML problems don’t need a better model. They need better data. You can: Tune hyperparameters Try new architectures Add more layers But if the data is noisy, biased or incomplete nothing really improves The uncomfortable truth: Model improvements are visible Data problems are hidden And we keep optimizing what’s easier to change Read the full breakdown: https://lnkd.in/gknjWXUf

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