Absolutely. Most machine learning (ML) algorithms are deployed in a cloud environment (notable exceptions would be features that Apple puts on its computers, tablets, and phones). In fact, I feel that there is a bit of a gap for data scientists actually deploying the systems they work on (which is a task often delegated to data engineers) so I wrote a blog post on getting an experiment working in production with ReactJS (for visualizations) and Python (for ML): towardsdatascience.com/deploying-y....
(^ I realize I just linked to another writing forum but hopefully my content here makes up for that. 😀)
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Absolutely. Most machine learning (ML) algorithms are deployed in a cloud environment (notable exceptions would be features that Apple puts on its computers, tablets, and phones). In fact, I feel that there is a bit of a gap for data scientists actually deploying the systems they work on (which is a task often delegated to data engineers) so I wrote a blog post on getting an experiment working in production with ReactJS (for visualizations) and Python (for ML): towardsdatascience.com/deploying-y....
(^ I realize I just linked to another writing forum but hopefully my content here makes up for that. 😀)