Networks
In Data Science, Networks refer to a collection of nodes or vertices that are connected by edges or links. These nodes can represent various entities such as people, organizations, or machines, while the edges represent the relationships or interactions between them. Networks can be used to model complex systems and analyze their behavior, such as social networks, transportation networks, or biological networks. Network analysis involves studying the structure and properties of these networks, such as their degree distribution, centrality measures, and community structure. This analysis can provide insights into the underlying mechanisms and dynamics of the system being modeled.
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- Optimization Problems: Optimization problems refer to the process of finding the best solution from all feasible solutions. In data science and artificial intelligence, optimization problems are often encountered when trying to maximize or minimize a certain obje ... Read More >>
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