jacopotagliabue/FREE_7773
Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).
This project provides practical materials and code examples for Master of Engineering students learning about Natural Language Processing (NLP) and Machine Learning Systems (MLSys). It helps students understand how to build and deploy machine learning models, particularly text classification and regression models, from local development to cloud-based serving. Students can input data like text corpora or numerical datasets and output trained models and functional cloud endpoints.
No commits in the last 6 months.
Use this if you are a Master of Engineering student or practitioner looking for hands-on examples to build, refactor, and deploy NLP and ML models using best practices like Metaflow and AWS Serverless.
Not ideal if you are looking for a ready-to-use application or a production-ready system, as this repository primarily serves as educational material for learning and experimentation.
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Jupyter Notebook
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MIT
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Last pushed
Dec 19, 2022
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