5 important questions to ask before you put a machine learning model into production.
(A thread) 👇
(A thread) 👇
1. Where you’ll store your data?
It covers the following:
- How is your data stored?
- What is the size of your data?
- How will you retrieve the data?
It covers the following:
- How is your data stored?
- What is the size of your data?
- How will you retrieve the data?
2. What are the frameworks and tools you will use?
It covers the following:
- What is the best tool for your problem?
- Flexibility of #OpenSource or features and support of close source tools
- How many platforms will support the tool?
It covers the following:
- What is the best tool for your problem?
- Flexibility of #OpenSource or features and support of close source tools
- How many platforms will support the tool?
3. What is the expected performance of the model?
It covers the following:
- What metrics to use for model performance in production?
- What tools to use to understand and predict model and data drift in advance?
It covers the following:
- What metrics to use for model performance in production?
- What tools to use to understand and predict model and data drift in advance?
4. How will you collect the feedback?
It covers the following:
- How can you retrieve feedback from production models?
- How and where to integrate the feedback loop?
- What kind of feedback to collect from the end users (subjective or objective)?
It covers the following:
- How can you retrieve feedback from production models?
- How and where to integrate the feedback loop?
- What kind of feedback to collect from the end users (subjective or objective)?
5. How will the model be monitored and updated?
It covers the following:
- What tools to use for post-production monitoring?
- How to ensure constant delivery?
- How to update the model without interrupting its operation?
It covers the following:
- What tools to use for post-production monitoring?
- How to ensure constant delivery?
- How to update the model without interrupting its operation?
If you have experience deploying machine learning models in production, please do share it in the comments!
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