Communications
In Data Science, Communications refers to the process of transmitting and receiving data or information between two or more devices or systems. This can be achieved through various means such as wired or wireless networks, satellite communication, or the internet. Communications is a crucial aspect of Data Science as it enables the transfer of data from one point to another, which is essential for data analysis, machine learning, and other data-driven applications. Effective communication protocols and technologies are necessary to ensure the accuracy, reliability, and security of data transmission. In addition, Communications also involves the interpretation and visualization of data, which is essential for decision-making and problem-solving.
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- Cox Proportional Hazards Model: Cox Proportional Hazards Model is a statistical model used to analyze survival data in the presence of one or more covariates. It is a semi-parametric model that assumes the hazard rate of an event is proportional to the covariates. The mod ... Read More >>
- Cache Memory: Cache memory is a small, high-speed memory that stores frequently accessed data and instructions closer to the processor, allowing the processor to access them quickly. It acts as a buffer between the CPU and main memory, reducing the avera ... Read More >>
- Symmetric Encryption: Symmetric encryption is a type of encryption where the same key is used for both encryption and decryption of data. In this method, the sender and receiver of a message share a secret key that is used to encrypt and decrypt the message. The ... Read More >>
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