Stemming

Statistics in AI involves the systematic collection, analysis, interpretation, and presentation of data to uncover patterns and relationships. It provides foundational methods for building models, making predictions, and validating algorithms, enabling AI systems to learn from data effectively. By applying statistical techniques, AI can generalize from sample data to broader contexts, supporting decision-making and ensuring robust, reliable performance.