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If a model is tasked with identifying dogs from a random collection, then one can use named-entity recognition to label any content that does not contain the names of dog breeds. Existing knowledge resources can be combined with such simplistic logic to label training data for using it in a new model. This labelling function…
The post Why You Should Use Weak Supervision For Your Data Labelling Chores appeared first on Analytics India Magazine.

