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
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
Episode 35 of the Stanford MLSys Seminar Series!You don’t need a bigger boat: MLOps at reasonable scaleSpeaker: Jacopo TagliabueAbstract:It is indeed a wonde…
An end-to-end implementation of intent prediction with Metaflow and other cool tools - GitHub - jacopotagliabue/you-dont-need-a-bigger-boat: An end-to-end implementation of intent prediction with Metaflow and other cool tools
Depending on use case. Neptune does not claim to contain all the functionality of all the tools listed. If you feel there are inaccurate statements in this comparison or a tool missing, please send an email to [email protected]
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