Klaviyo Data Science Podcast EP 46 | ML Ops 101

Klaviyo Data Science Podcast

İçerik Klaviyo Data Science Team tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Klaviyo Data Science Team veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.

1M ago 45:10

MP3•Bölüm sayfası

An Introduction to ML Ops

Building data science products requires many things we’ve discussed on this podcast before: insight, customer empathy, strategic thinking, flexibility, and a whole lot of determination. But it requires one more thing we haven’t talked about nearly as much: a stable, performant, and easy-to-use foundation. Setting up that foundation is the chief goal of the field of machine learning operations, aka ML Ops.

This month on the Klaviyo Data Science Podcast, we give a brief but thorough introduction to the field of ML Ops. You’ll hear about:

How ML Ops is different from the similar fields of data science and DevOps
What skills a successful ML Ops developer should have, and what an ML Ops developer’s day-to-day looks like
Why concepts like “velocity” and “stability” have their own special nuances in the world of ML Ops

For the full show notes, including who's who, see the ⁠⁠⁠⁠⁠⁠Medium writeup⁠⁠⁠⁠⁠⁠.

47 bölüm

#Business #Marketing #Michael Lawson