👉 Reducing computing, also known as computational reduction or data reduction, is a technique used to minimize the amount of data that needs to be processed or stored while preserving its essential characteristics or information. This approach is particularly valuable in big data and machine learning contexts where large datasets can be computationally expensive or resource-intensive to handle. By reducing the complexity of data through methods like dimensionality reduction, feature selection, or data compression, algorithms can operate more efficiently, requiring less computational power, memory, and time. This not only speeds up processing but also reduces costs and enhances scalability, making it possible to analyze and derive insights from vast datasets that would otherwise be impractical to work with.
