Garbage in is garbage out in computing, and it is especially the case with regards to machine learning data. In this infographic from Cognilytica we go over key insights and figures from the recent Data Preparation & Labeling for AI 2020 Report including the fact that data labeling is expensive, humans are still needed for manually labeling data and AI quality control, AI has time-consuming and complex data prep requirements, and more.
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- February 6, 2020 Create Date
- February 6, 2020 Last Updated