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Data labeling is crucial for developing AI and machine learning models, as it helps machines understand and use raw data. It involves adding tags and annotations, such as keywords, categories, and attributes, to help artificial intelligence tools train themselves. It can be done using automated tools or manually by humans. Different types of labeling include image labeling, text labeling,...

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AI and machine learning companies use accurate annotated maps to train their algorithms to recognize and interpret geographical features. Check out the article that guides the process of annotating maps using point, line, and polygon techniques.

Azure provides a fully integrated set of IaaS and PaaS capabilities, including technologies like AI and machine learning, analytics, DevOps, internet of things and ...

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