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Deploy the model.
While teams spend lots of energy developing a machine learning model, it's hard to actually deploy the model for customers to use.
The only justification for using them is fit, and that extra bit of fit probably won't hold up when you deploy the model, let alone be worth the effort.
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Making an employee-customer-profit chain operational is therefore a challenge in three parts: creating and refining the employee-customer-profit model and the measurement system that supports it; creating management alignment around the use of the model to run the company; and deploying the model so as to build business literacy and trust among employees.
We believe the use of supervised learning to build a classifier that finds undiagnosed cases of FH is a compelling example of machine learning that matters.27 As a next step, we are working on deploying the model in a clinical setting, at Stanford Healthcare and at additional sites in partnership with the FH Foundation.
Resource expense In this paper, we consider expense mostly in terms of time involved from setting up a cluster to deploying the model and maintaining it after the fact.
Once all critical gaps necessary for in silico biomass formation were filled, we deployed the model to compute growth versus no-growth on different carbon, nitrogen, phosphorus, and sulfur sources at both 25-28°C 25-28°CC (anditional File 1).
The Administration then decided, Leverett said, to "deploy the Guantánamo model in Iraq"—to put aside its rules of interrogation.
The Administration then decided, Leverett said, to "deploy the Guantánamo model in Iraq" — to put aside its rules of interrogation.
Leverett went on, "The President was only belatedly coming to the understanding that he had to either make a strategic change or, if he was going to insist on unilateral control, get tougher and find the actual insurgency". The Administration then decided, Leverett said, to "deploy the Guantánamo model in Iraq"—to put aside its rules of interrogation.
Long-term, however, operators will have to figure out what their customers want and how to deploy the business model best.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com