7 Strategies to Reduce Training Data Acquisition Cost

Data Science Tech Brief By HackerNoon

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Optimize your machine learning models without breaking the bank. These 7 effective strategies will help you acquire training data at a lower cost
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Acquiring high-quality training datasets can be expensive, but there are various strategies you can use to minimize the cost. Start by defining your project requirements and target audience, then consider using existing datasets or outsourcing to a data collection service. You can also leverage crowd-sourcing platforms, data partnerships, and data augmentation techniques to reduce the cost of data collection. By following these strategies, you can acquire the data you need without breaking the bank and optimize your machine-learning models for success.