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Weekly roundup of MLOps and DataOps - Issue #8

Weekly roundup of MLOps and DataOps
Weekly roundup of MLOps and DataOps - Issue #8
By Subbu Banerjee • Issue #8 • View online
Hello Hello,
This is the first newsletter in 2022. I wish you all a productive 2022. We can´t control our external world but we can control how we react to it. Today I start with Dr Seuss

Machine Learning OPS with gitops kubernetes
David, Hamel, Marvin, Rimas, Zander aggregate and share their views on how to approach an MLOPS pipeline and have created a website with talks, examples and github repo with all the code
Feature Store Summit
If you are into MLOPS and haven´t found a tool to handle the cadence anomaly, feature stores are your best bet. Here is link to the feature store summit
Feature Store for ML - Feature Store Summit Videos
Challenges and solutions for online MLOPS
Chip has talked to ~30 companies in different industries about their challenges with real-time machine learning and outlines the solutions for (1) online prediction and (2) continual learning, with step-by-step use cases, considerations, and technologies required for each level.
Denmark University Course on MLOps
If you have want a more structured deep dive into MLOPS Denmark University has created an interesting course with code .
GitHub - SkafteNicki/dtu_mlops: Exercises and supplementary material for the machine learning operations course at DTU.
Made with ML
And while on the subject of courses , don’t forget to checkout this awesome MLOPS course
Home - Made With ML
Thats it for today, will see you guys in the next letter and keep pushing those ML models to production ;)
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Subbu Banerjee

Weekly roundup of MLOps and DataOps

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