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Rethinking ML Development - A Data-Centric Approach

Open Data Science via YouTube

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Overview

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This talk introduces Data-Centric AI as an approach to machine learning development centered on iterative problem-solving, effective tools, reproducible analytics, and shared responsibility for data quality.

Syllabus

- Introductions
- Agenda
- AI Today
- What is Data-Centric AI?
- The Move to Data-Centric AI
- Set Yourself up for Iteration
- Great Tools Help Make Great Products
- Make it easy to write, test, run, and reproduce your analytics
- Solve one problem at a time
- Quality is everyone’s problem, especially with data
- Recap

Taught by

Open Data Science

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