Physical Model

In Data Science, a physical model is a mathematical representation of a real-world system or phenomenon that takes into account the physical laws and principles governing the system. Physical models are used to simulate and predict the behavior of the system under different conditions. They are often used in fields such as engineering, physics, and chemistry to design and optimize systems and processes. In Data Science, physical models are used to model complex systems such as climate, traffic, and financial markets. These models are based on mathematical equations that describe the physical behavior of the system, and they are often solved using numerical methods. Physical models can be validated by comparing their predictions to real-world data, and they can be refined and improved over time as new data becomes available.
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