2023 Lectures

• 1/17/23: Data-Centric AI vs. Model-Centric AI
• 1/18/23: Label Errors and Confident Learning
• 1/19/23: Dataset Creation and Curation
• 1/20/23: Data-centric Evaluation of ML Models
• 1/23/23: Class Imbalance, Outliers, and Distribution Shift
• 1/24/23: Growing or Compressing Datasets
• 1/25/23: Interpretability in Data-Centric ML
• 1/26/23: Encoding Human Priors: Data Augmentation and Prompt Engineering
• 1/27/23: Data Privacy and Security

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The 2023 offering of this class was co-taught by Anish, Curtis, Jonas, Cody, Ola, and Sharon.

Video recordings of the lectures are available on YouTube.

If you have questions about the lecture material or the labs, please ask in #dcai-course on this Slack.

Beyond MIT

We’ve also shared this class beyond MIT in the hopes that others may benefit from these resources. You can find posts and discussions on:

• r/MachineLearning
• r/learnmachinelearning
• Hacker News
• Lobsters
• LinkedIn
• Twitter