👉 After computing refers to the process that occurs following the execution of a computational task, where results are gathered, processed, and often presented or stored for further use. This stage involves analyzing the output data to ensure accuracy, applying any necessary post-processing steps, and potentially transforming or formatting the results for human consumption or integration into larger systems. In machine learning and data science, after computing includes tasks like model evaluation, visualization of results, generating reports, and deploying the final outputs into operational environments. This phase is crucial for validating the effectiveness of the computational model and ensuring that the insights or predictions derived from the data are reliable and actionable.
