Technology
In the context of Data Science and Artificial Intelligence, technology refers to the tools, techniques, and methodologies used to collect, process, analyze, and interpret data. This includes hardware such as computers, servers, and storage devices, as well as software such as programming languages, data management systems, and machine learning algorithms. Technology also encompasses the infrastructure and platforms used to deploy and scale data-driven applications, such as cloud computing and containerization. In addition, technology plays a critical role in ensuring the security, privacy, and ethical use of data, through measures such as encryption, access controls, and data governance frameworks.
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- L2 Regularization: L2 regularization is a technique used in machine learning and deep learning to prevent overfitting of the model. It adds a penalty term to the loss function of the model, which is proportional to the square of the magnitude of the weights i ... Read More >>
- Performance Optimization: Performance optimization is the process of improving the speed and efficiency of a system or application. In the context of data science and artificial intelligence, performance optimization involves identifying and addressing bottlenecks i ... Read More >>
- Decision Variables: In Data Science, Decision Variables are the set of variables that are used to represent the possible decisions that can be made in a given problem. These variables are used to model the decision-making process in mathematical optimization p ... Read More >>
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