
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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- Machine Translation: Machine Translation (MT) is the use of computer algorithms to automatically translate text from one language to another. MT systems can be rule-based, statistical, or neural. Rule-based systems rely on a set of predefined linguistic rules a ... Read More >>
- Forward-Backward Algorithm: The Forward-Backward Algorithm is a dynamic programming algorithm used to compute the posterior marginals of hidden states in a Hidden Markov Model (HMM). It is a two-pass algorithm that first computes the forward probabilities, which are t ... Read More >>
- Tailgating: Tailgating is a technique used in anomaly detection in which an attacker gains access to a network by closely following an authorized user. The attacker waits for the authorized user to authenticate and gain access to the network, and then ... Read More >>
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