Mechanisms
In Data Science, mechanisms refer to the processes or procedures that underlie the functioning of a system or model. These mechanisms can be physical, such as the components of a machine learning algorithm, or conceptual, such as the assumptions underlying a statistical model. Understanding the mechanisms of a system is crucial for interpreting its outputs and making accurate predictions. Mechanisms can be studied through various methods, including experimentation, simulation, and mathematical modeling. In addition, mechanisms can be used to identify causal relationships between variables, which is important for making informed decisions in fields such as healthcare, finance, and marketing.
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