Shipping classic software vs. operating ML models + other resources
Sending November's MLOps resources your way! Here are the best articles, case studies, and interviews that we published (or refreshed or came across) this month. Hope you'll find them useful.?
Case studies & practical MLOps
>?Differences Between Shipping Classic Software and Operating ML Models?- a really interesting conversation between ?? Simon Stiebellehner (MLOps Lead Engineer and MLE Craft Lead at TMNL) and Piotr Niedzwiedz (Founder and CEO of neptune.ai). They talk about what classic backend engineers and CS programs miss when it comes to ML engineering, how do people transition from DevOps engineering to MLOps engineering, and much more.?
You can also listen to it as a podcast on?Spotify?or?Apple Podcasts.
>?Managing Multiple Pipelines with Kedro?- A case study created with the team over at? ReSpo.Vision . They use CV and ML?in sports data analysis to extract 3D data from the football field. The team runs a lot of kedro pipelines to get and process this kind of data, and they were looking for a way to track and manage them. Read how it went.?
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Guides
>?Why is Git Not the Best for ML Model Version Control?- Git is a great tool that supports code versioning and collaboration across traditional software development. But it is not built with machine learning models in mind. Vidhi Chugh explains why exactly and what can be used instead.
>?Optimizing Models for Deployment and Inference - lack of robustness/slow inference time of models, when deployed to large-scale scenarios, is one of the main issues often neglected during training in a greenhouse setting with synthesized and highly supervised datasets.?This article dives into six ways to improve it.
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领英推荐
Tools
Q&As with ML practitioners
We have the last two episodes of?MLOps Live?planned for this year:
>?Continuous MLOps pipelines?with Itay Ben Haim ,?Software Team Lead at Superwise | A Blattner Tech Company ?- December 6, 2022
>?Implementing vector search?with Kacper ?ukawski ,?Developer Advocate at Qdrant ?- December 20, 2022?
You can?register here?to have both of them on the calendar. Or you can just watch them live on?Neptune's Linkedin profile.?Also, to catch up with previous episodes, go to?YouTube,?Spotify, or?Apple Podcasts.?
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Okay, that's it for today. If you want to talk about these recommendations, send me an email or?join the MLOps community here, and find the?#neptune-ai channel?there.
Cheers!