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Weekly roundup of MLOps and DataOps - Issue #6(MLOPS > ML)

Weekly roundup of MLOps and DataOps
Weekly roundup of MLOps and DataOps - Issue #6(MLOPS > ML)
By Subbu Banerjee • Issue #6 • View online
Hello Folks,
Welcome to issue 6. And the theme of todays issue is ¨MLOPS is greater than ML¨. If one doesn´t build the iterative pipeline to deploy ML, the chances of ML adding value to business and hence succeeding in the long run is less.

1. Made with ML
If you have built your first model and are wondering how to move it to production using opensource tools, this free course is right for you
Made With ML - Made With ML
2. You don´t need a bigger boat
How do you cherry pick the right tool to build end to end MLOPS pipeline using Metaflow, snowflake, prefect, dbt, great expectations, weights and biases, gantry
ML Ops at Reasonable Scale feat. Jacopo Tagliabue | Stanford MLSys Seminar Episode 35
GitHub - jacopotagliabue/you-dont-need-a-bigger-boat: An end-to-end implementation of intent prediction with Metaflow and other cool tools
3. Shipping DL models
Lecture 11: Deployment & Monitoring - Full Stack Deep Learning
4 Comparison of MLOPS tools
Homepage - MLOPS Tools Landscape By Neptune
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Subbu Banerjee

Weekly roundup of MLOps and DataOps

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