 Algorithmic inference

Algorithmic inference refers to a systematic approach used to draw conclusions or make predictions based on data using algorithms. It combines elements of statistical inference, machine learning, and computational methods to analyze data and extract meaningful patterns or insights. Here are some key concepts related to algorithmic inference: 1. **Data-Driven Decision Making**: It leverages available datasets to inform decision-making processes, allowing for more objective and data-supported conclusions.