5 Approaches to Data Labeling for Machine Learning
2020-12-2 · Here are four insights I’ve developed while managing the data labeling for Azavea’s machine learning projects. Align project goals. Before building your data labeling project, you need to sit down with your client and software engineers to hammer out what information you want to glean from your data.
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