A Chat with Andrew on MLOps: From Model-Centric to Data-Centric AI

Ng, A. (2021). A Chat with Andrew on MLOps: From Model-Centric to Data-Centric AI: From Model-Centric to Data-Centric AI.

Type

Web resource

Intellectual base

Web

Year

2021

Link

https://www.youtube.com/watch?v=06-AZXmwHjo

Cited from

information_theory

Cited by

1 citation across 1 artifact.

Primes

• Garbage In, Garbage Out
  • In machine learning and AI, training-data quality, label noise, and biased corpora set the ceiling on accuracy and fairness — "you can't model your way out of bad data," the spirit of the data-centric-AI movement.

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