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:
Show Notes:
Streamlit:
GPU acceleration in Windows Subsystem for Linux
Fairness and bias:
Chris’s personal, COVID-related blog post
Something missing or broken? PRs welcome!
