Data Quality or Quantity — Which Matters More?
summary
A discussion of whether data quality or data quantity matters more for big data and machine learning work. It covers practical trade-offs for Data Science, High Load systems, and AI/ML projects, focusing on how to balance collecting large volumes of data versus ensuring its quality.
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chapters (14)
- 0:00Introduction
- 1:05Speaker and topic
- 3:31Data quality vs quantity
- 5:38Can data be too much
- 7:27Personal case study
- 10:18Better models with data
- 11:41Error analysis and cleaning
- 13:49Classifier evolution example
- 18:25Who labels data
- 19:29Data preparation guide
- 25:49Labeling instructions and rules
- 27:55Iterative data workflow
- 29:21Summary
- 30:10Q&A
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