2024 Lectures

• 1/16/24: Data-Centric AI vs. Model-Centric AI
• 1/17/24: Label Errors and Confident Learning
• 1/18/24: Advanced Confident Learning, LLM and GenAI applications
• 1/19/24: Class Imbalance, Outliers, and Distribution Shift
• 1/22/24: Dataset Creation and Curation
• 1/23/24: Data-centric Evaluation of ML Models
• 1/24/24: Data Curation for LLMs

Lecture: 2-190, 12pm–1pm
Questions: Post in the #dcai-course channel on this community Slack team (preferred) or email us at dcai@mit.edu.

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Previous year’s lectures

You can find lecture notes and videos from last year’s version of the class. Each year’s lectures are fully self-contained, and we recommend following the most recent version of the material (i.e. the 2024 lectures). There is slight variation in the topics covered, so we continue to host notes and videos for earlier versions of this course.