Changelog Master Feed

Roles to play in the AI dev workflow (Practical AI #93)


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This full connected has it all: news, updates on AI/ML tooling, discussions about AI workflow, and learning resources. Chris and Daniel breakdown the various roles to be played in AI development including scoping out a solution, finding AI value, experimentation, and more technical engineering tasks. They also point out some good resources for exploring bias in your data/model and monitoring for fairness.

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  • Featuring:

    • Chris Benson – Website, GitHub, LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Show Notes:

    Streamlit:

    • Streamlit funding announcement
    • Previous Practical AI episode about Streamlit
    • GPU acceleration in Windows Subsystem for Linux

      Fairness and bias:

      • Google’s explanation of bias in their ML crash course
      • IBM fairness 360
      • Google’s responsible AI practices
      • Driven Data’s Deon project
      • Previous Practical AI episode about bias in AI and hiring
      • US Department of Defense Ethical principles for AI
      • Chris’s personal, COVID-related blog post

        Something missing or broken? PRs welcome!

        ...more
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