#2 Machine Learning for NLP: Export & convert data from Label Studio to Spacy training format to create a custom NER

This video is part of the post “The importance of the Labeling process or annotating inside an ML pipeline plus an example on how-to train a “custom” NER for Spacy” at https://wp.me/p3Vuhl-3fu

The code can be found at https://bit.ly/3sQqMSs

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20th Oct 2023

The importance of the Labeling process or annotating inside an ML pipeline plus an example on how-to train a “custom” NER for Spacy

Tag(s) : AI, Anaconda, annotations, artificial intelligence, Automate, Automation, Automatization, ChatGPT, datascience, Development, DevOps, Doccano, Docker, IA, JSON, Keywords Extraction, Label Studio, labelingmachine, language, Learning-by-doing, Machine Learning, machinelearning, mlops, Natural language processing, NLP, Python, Pytorch, SpaCy
Categorie(s) : Agile, Anaconda, Development, Experiences, Python, Tutorials, Videos