can consider the ML algorithms as a gray box. This allows him to concentrate on the applied aspects of data science and to test the various ML algorithms to see which ones work best for the scenario and data he is concerned with. Finally, a key aspect of being a successful data scientist is being able to communicate the story in the data. This story might uncover the insight that the analysis of the data has revealed or how the models created during a project fit into an organization’s processes and the likely impact they will have on the organization’s functioning.
