Whether you're training machine learning algorithms or using traditional analysis techniques, the quality of your data determines performance. Data science tech developer Hivemind enlisted CloudFactory's managed workforce and a leading crowdsourcing platform's anonymous workers to complete a series of the same tasks, ranging from basic to more complicated, to determine which team delivered the highest-quality structured datasets and at what relative cost.
IN THIS REPORT YOU WILL LEARN:
- The difference in accuracy you might expect from using an anonymous crowdsourced team versus a managed team of data workers
- The interesting behavioral impact of paying workers by the hour – rather than by the task – and how it can affect quality
- Factors that can help you strategically deploy the right workforce for optimal results
