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For most businesses a GPU is not really expensive, particularly if the results are important to the business. Chasing a single metric is certainly too narrow b
by soraki_soladead 8y ago
For most businesses a GPU is not really expensive, particularly if the results are important to the business.
Chasing a single metric is certainly too narrow but getting the best results often does matter in a professional context too. While Kaggle can go overboard on massive ensembles using a state-of-the-art approach to the problem is often warranted outside of Kaggle.
- scottlocklin 8y agoDo you have an example backing up your assertions? In my experience, the worst text classification is usually fine. Labels are usually too inaccurate and subjective for "accuracy" to matter much.
- soraki_soladead 8y agoElectronic medical records. Anything in healthcare/medical, financial services, legal. There's a long way from the "worst text classification" to "sufficient text classification" in most real world use cases. With a reasonable budget you can relabel data and work around subjectivity.