Components
In the context of Data Science and Artificial Intelligence, components refer to the individual parts or modules that make up a larger system or application. These components can be software or hardware-based and are designed to work together to achieve a specific goal or function. In Data Science, components can refer to the various tools and technologies used to collect, process, analyze, and visualize data. In Artificial Intelligence, components can refer to the different algorithms, models, and frameworks used to build intelligent systems that can learn and make decisions. Components are often designed to be modular and interchangeable, allowing for greater flexibility and scalability in the development and deployment of complex systems.
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- Random Numbers: Random numbers are a sequence of numbers that are generated in a way that cannot be predicted beforehand. In data science, random numbers are used for various purposes such as generating random samples, simulating data, and testing statisti ... Read More >>
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