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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- Web Browser: A web browser is a software application used to access and view websites and other content on the internet. It retrieves information from web servers and displays it on the user's device. Web browsers use various protocols such as HTTP, HTT ... Read More >>
- Data Parallelism: Data Parallelism is a technique used in distributed computing and parallel computing to divide a large dataset into smaller subsets and process them simultaneously on multiple processors or nodes. In this technique, each processor or node r ... Read More >>
- Artificial Neural Networks: Artificial Neural Networks (ANNs) are a subset of machine learning algorithms that are modeled after the structure and function of the human brain. ANNs consist of interconnected nodes, or neurons, that process and transmit information. Eac ... Read More >>
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