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9 Deadly Sins of Machine Learning Dataset Selection - KDnuggets

#artificialintelligenceJun-12-2021, 06:35:22 GMT

Let's start with an obvious fact: ML models can only be as good as the datasets that were used to build them! While there is a lot of emphasis on ML model building and algorithm selection, teams often do not pay enough attention to dataset selection! In my experience, investing time upfront in dataset selection saves endless hours later during model debugging and production rollout. Based on the ML model being built, outliers can either be a noise to ignore or important to take into account. Outliers arising from collection errors are the ones that need to be ignored.

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Technology: Information Technology > Artificial Intelligence > Machine Learning (1.00)

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