The evolution of machine learning at the industry level
Originally shared by Ward Plunet
The evolution of machine learning at the industry level
One good example is continued re-training.
And shifts in real world data may make trained models less accurate, so engineers re-train production models on fresh data on a daily to monthly basis, depending on the application. But a lack of machine learning-specific support in the existing engineering infrastructure can create a disconnect between models in development and models in production — normal code is updated much less frequently.
https://techcrunch.com/2017/08/08/the-evolution-of-machine-learning/?ncid=rss
The evolution of machine learning at the industry level
One good example is continued re-training.
And shifts in real world data may make trained models less accurate, so engineers re-train production models on fresh data on a daily to monthly basis, depending on the application. But a lack of machine learning-specific support in the existing engineering infrastructure can create a disconnect between models in development and models in production — normal code is updated much less frequently.
https://techcrunch.com/2017/08/08/the-evolution-of-machine-learning/?ncid=rss
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