ML
Models trained for a specific decision.
Machine learning development when the business has a pattern worth learning: prediction, ranking, detection, or a recommendation that has to earn its place.
Need a Quote-
A question first
We define the decision the model should improve before anyone reaches for a framework.
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Python and the surrounding system
Training is only useful once it lives inside an application people use.
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Room to retrain
Pipelines and ownership so the model can be improved as the data changes.
Questions
Machine learning, plainly
When is machine learning the right tool?
When the business has a pattern worth learning and a decision the model should improve. Prediction, ranking, detection, and recommendations are the usual jobs. The question comes before the framework.
What language do you use?
Python, inside an application people use. Training is only useful once it is deployed, logged, and owned, with room to retrain as the data changes.