~/talk

DataEngBytes 2023 - SYD-T2-04 - Suneeta Mall

Talkat DataEngBytes Sydney 2023 · on Friday, 2023-08-25· [machine-learning, data-engineering]
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Argues for treating data as the development driver, not an afterthought, and shows concrete techniques: automated label-error detection using cleanlab and confident learning to find mislabeled runway/airplane annotations, empirical triaging into three-sample buckets (easy once, critical repeat, never-learns) that cuts redundant training and compute, and a UDA-style iterative loop that measures veracity, value, and volume so teams reduce storage and labeling cost while preserving model performance.

AI-written summary · about

  1. 0:00Introduction
  2. 4:56Talk motivation
  3. 7:46Iterative data development
  4. 12:22Seven data dimensions in AI
  5. 14:08Data veracity at scale
  6. 16:38Maximizing training data value
  7. 19:08Optimizing data volume
  8. 20:30Q&A
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