Data Annotation in the world of ML

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Data Annotation in the world of ML Clean data Clean data builds more reliable ML models. You can use this tool to determine if your data is clean.

Data annotation platforms Data with missing labels or poorly tagged data can be salvaged Use the ML model to create new data

Data annotation services by automated or human Data annotation services can be expensive, depending on the method. Some data can be automatically and manually annotated.

Learning in the human-in-the-loop This is human-in-the-loop and is often one function of mature ML models. Google Docs has data annotation services & HITL, for example.

An industry is data annotation Platforms Data annotation platform is already a growing industry. It will continue to grow as more complex datasets are needed to solve some of machine learning's most difficult problems.

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