Perspectives on Becoming an Applied Machine Learning Scientist.
While becoming a scientist is all about creating a dent in the boundaries of human knowledge, applying that expertise in a corporate setting requires a transformation of the scientist skill set. In both academia and industry, the primary focus is problem solving. In academia, however, it is targeted...
| Publicado en: | Computer (00189162) Vol. 52; no. 5; pp. 40 - 48 |
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| Autor principal: | |
| Formato: | Artículo |
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IEEE
May2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | While becoming a scientist is all about creating a dent in the boundaries of human knowledge, applying that expertise in a corporate setting requires a transformation of the scientist skill set. In both academia and industry, the primary focus is problem solving. In academia, however, it is targeted toward creating a novel solution that pushes the state of the art, while, in industry, the solution is valuable if it leads to the desired change in business metrics. |
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