2 years ago I got tired of developing ML models... that never made it into production.
Then I discovered this ↓
Then I discovered this ↓
It is best practice in Software Engineering to first build a working MVP (minimal viable product) fast. And then start iterating.
In the case of ML, an MVP is a minimal system that can
- ingest new data
- make predictions on this data, and
- publish these predictions
In the case of ML, an MVP is a minimal system that can
- ingest new data
- make predictions on this data, and
- publish these predictions
So, instead of trying to build the perfect model in a notebook, try to build this minimal system.
This is the recipe that will help you build and ship ML.
And not get stuck in the Jupyter-notebook-infinite-development loop.
This is the recipe that will help you build and ship ML.
And not get stuck in the Jupyter-notebook-infinite-development loop.
Wanna learn how to build real-world ML systems? 🤖
Join the Serverless ML Community and connect with ML builders worldwide
↓↓↓
serverless-ml.carrd.co
Join the Serverless ML Community and connect with ML builders worldwide
↓↓↓
serverless-ml.carrd.co
Wanna get more real-world ML/MLOps content?
→ Follow me @paulabartabajo_
Wanna help?
→ Like/Retweet the first tweet below to spread the wisdom ↓↓↓
→ Follow me @paulabartabajo_
Wanna help?
→ Like/Retweet the first tweet below to spread the wisdom ↓↓↓
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