Discover practical techniques to improve dataset quality and boost real-world machine learning performance with this first-ever Data-Centric AI course from MIT.
Title: Introduction to Data-Centric AI
This is the first-ever course on Data-Centric AI (DCAI), an emerging science that studies techniques to improve datasets, which is often the best way to improve performance in practical ML applications. The course covers algorithms to find and fix common issues in ML data and to construct better datasets, concentrating on data used in supervised learning tasks like classification.
This course is recommended for anyone interested in practical machine learning, especially those who have completed an introductory ML course and are familiar with Python and data science tools. It provides valuable skills for improving dataset quality, which is often the key to better model performance in real-world applications.
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Choose your OS, IDE, or app from our playground library and launch it instantly.
Practice within the VM while following tutorials or videos side-by-side. Save your work with Pro for easy continuity.