#4 Machine Learning for NLP: Running & Connecting a ML Backend to Label Studio for a Pytorch Sentiment Analysis
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
Tag(s) : AI, Anaconda, API, application, artificial intelligence, Automate, Automation, Automatization, ChatGPT, coding, datascience, Development, DevOps, Doccano, Docker, JSON, Label Studio, labelingmachine, Learning-by-doing, Machine Learning, machinelearning, mlops, Natural language processing, NLP, Python, Pytorch, TensorFlow
Categorie(s) : Anaconda, Development, DevOps, Experiences, Python, Tutorials, Videos