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Testing is the practice of systematically checking if code functions as intended.
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Practical AI Practical AI #74

Testing ML systems

Production ML systems include more than just the model. In these complicated systems, how do you ensure quality over time, especially when you are constantly updating your infrastructure, data and models? Tania Allard joins us to discuss the ins and outs of testing ML systems. Among other things, she presents a simple formula that helps you score your progress towards a robust system and identify problem areas.

Go Time Go Time #91

if err != nil

Mat and Carmen along with guest panelists Dave Cheney, Peter Bourgon, and Marcel van Lohuizen discuss errors in Go, including the new try proposal. Many questions get answered…What do we think about how errors work in Go? How is it different from other languages/approaches? What do/don’t we like? What don’t we like? How do we handle errors these days? What’s going on with the try proposal?

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