👉 Exports computing refers to the process of transferring data and results from one computational environment or system to another, typically for analysis, visualization, or further processing. This involves exporting data from various sources and formats, such as databases, spreadsheets, or code outputs, into standardized file formats like CSV, JSON, or Parquet that can be easily consumed by other tools and platforms. In the context of machine learning, exports computing is crucial for sharing model outputs, performance metrics, and training data with collaborators or integrating models into production systems. Efficient exports ensure that the data remains accessible and usable across different computing environments, facilitating reproducibility and collaboration in data science workflows.
