Machine learning – roles and process
Any effort to apply machine learning to a large-sized problem requires the collaborative effort of a number of roles, each abiding by a set of systematic processes designed for rigor, efficiency, and robustness. The following roles and processes ensure that the goals of the endeavor are clearly defined at the outset and the correct methodologies are employed in data analysis, data sampling, model selection, deployment, and performance evaluation—all as part of a comprehensive framework for conducting analytics consistently and with repeatability.
Roles
Participants play specific parts in each step. These responsibilities are captured in the following four roles:
- Business domain expert: A subject matter expert ...
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