👉 The estimation fluid, often referred to as the "estimation fluid" or "fluid model," is a conceptual framework used in machine learning and AI to simulate the process of making predictions or estimates. It represents a continuous, dynamic system that captures the uncertainty and variability inherent in real-world data and decision-making processes. Unlike traditional deterministic models, the estimation fluid incorporates probabilistic elements, allowing it to adapt and learn from new data, thereby refining its estimates over time. This fluid approach is particularly useful in scenarios where data is noisy, incomplete, or subject to change, as it can better handle the complexities and uncertainties of real-world environments. By modeling the estimation process as a fluid, researchers and practitioners can develop more robust and flexible models that improve accuracy and reliability in predictions.
