Source: towardsdatascience.com
Moving AI to the Real WorldCategory: Software, Business, Data, Microsoft, Kubernetes, Docker, artificial-intelligence
If you fit one of these profiles, this article is for you: ● You are a data science manager. You’d like to learn what happens downstream: How your model turns into a product.
This is the most “panoramic” picture I’ve seen if you are trying to understand the AI/ML pipeline from alpha to omega.
You can also get this content in many other places, but this is a well-organized and succinct presentation: The discussion around debugging DL models was particularly good: Get your model to run, overfit a single batch and compare to a known result.
A lot of this material was created in 2018 and is starting to show its age.
This is the most “panoramic” picture I’ve seen if you are trying to understand the AI/ML pipeline from alpha to omega.
You can also get this content in many other places, but this is a well-organized and succinct presentation: The discussion around debugging DL models was particularly good: Get your model to run, overfit a single batch and compare to a known result.
A lot of this material was created in 2018 and is starting to show its age.
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