Client-server Model
The client-server model is a distributed computing architecture that partitions tasks or workloads between the providers of a resource or service, called servers, and service requesters, called clients. In this model, clients send requests to servers, and servers respond with requested data or services. The client-server model is widely used in data science and artificial intelligence applications, where large amounts of data need to be processed and analyzed. In this context, the client-server model can be used to distribute data processing tasks across multiple servers, allowing for faster and more efficient processing. Additionally, the client-server model can be used to implement machine learning models, where the server provides the computational resources needed to train the model, and the client sends data to the server for processing.
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