dcai-course/dcai-lab
Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽💻
This project provides practical lab assignments to help machine learning practitioners understand and apply data-centric AI techniques. It takes various datasets and models as input, guiding users through improving model performance by focusing on data quality and characteristics, rather than just model architecture. The output is a deeper understanding and practical skills in managing data for better AI outcomes, benefiting data scientists and ML engineers.
479 stars. No commits in the last 6 months.
Use this if you are an ML engineer or data scientist looking to improve model performance by focusing on data quality, error identification, and dataset curation.
Not ideal if you are looking for a plug-and-play tool for immediate production deployment or a theoretical overview without hands-on implementation.
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Feb 24, 2025
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