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Strategic Data Discretization Methods for Machine Learning

Data discretization is the process of partitioning continuous attributes into a finite number of intervals, effectively mapping infinite numeric spaces into discrete categories. This transformation is fundamental in data preprocessing, especial when dealing with algorithms that require categorical i...

Practical Guide to Data Preprocessing Transforms in MindSpore

Raw data loaded directly from storage is rarely formatted correctly for direct neural network training. MindSpore provides a suite of modular transform operations that integrate with data processing pipelines via the map method, supporting image, text, and audio preprocessing alongside custom user-d...