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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