Episode

How to Test ML Code - ML 091

Podcast
Adventures in Machine Learning
Published
Oct 20, 2022
Duration seconds
2673
Processing state
failed
Canonical source
https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-test-ml-code-ml-091
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Markdown
/podcast/adventures-in-machine-learning/how-to-test-ml-code-ml-091.md

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Summary

In this show, we cover some practical tips for writing reliable ML code. Here are some of the questions we look to answer... What are tests and why should you use them? What's the difference between unit tests and integration tests? What should you test? How should you write tests in python? (the answer is to use pytest) Sponsors Top End Devs Coaching | Top End Devs Enov8, who provides test data management Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .