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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

Netflix Tech

We saw how excited data scientists were about modern off-the-shelf machine learning libraries, but we also witnessed various issues caused by these libraries when they were casually included as dependencies in production workflows. mainly because of mundane reasons related to software engineering.

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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

Netflix Tech

We saw how excited data scientists were about modern off-the-shelf machine learning libraries, but we also witnessed various issues caused by these libraries when they were casually included as dependencies in production workflows. mainly because of mundane reasons related to software engineering.

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FSI Member Spotlight Episode #17 – Matt Beecher

Praxent

Then from there, we employ really three microservice products off of Fineuron. FSI Member Spotlight Episode #17: Challenges and opportunities surrounding banking data architecture and the pressures of digital transformation initiatives. Tim Hamilton: Matt, tell us what is Neocova, and the suite of products that you all have developed?

Banking 52
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The Art of Agile Development, Second Edition

James Shore

For this week’s Tuesday Lunch & Learn livestream , I have a special show for you: the new edition of my book, The Art of Agile Development, Second Edition. The Art of Agile Development came out in 2007. It’s a well-loved classic that’s still talked about today. and now it’s time for an update. Edited Transcript. Introduction. Book Excerpt.

Agile 99
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MLOps and DevOps: Why Data Makes It Different

O'Reilly Media - Ideas

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. The new category is often called MLOps. However, the concept is quite abstract.

DevOps 143