Abstraction


Abstraction is the process of simplifying complex real-world phenomena into a set of concepts or models that capture the essential features of the original system. In data science and artificial intelligence, abstraction is used to create models that can be used to make predictions or decisions based on data. Abstraction involves identifying the key variables or features that are relevant to the problem at hand, and ignoring or simplifying the rest. This allows data scientists and AI experts to create models that are easier to understand and work with, while still capturing the essential characteristics of the original system. Abstraction is a fundamental concept in data science and AI, and is used in a wide range of applications, from image and speech recognition to predictive modeling and decision-making.


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