Domain Knowledge

Domain knowledge refers to the understanding and expertise of a particular subject area or industry. In the context of data science, domain knowledge is the knowledge of the specific field or industry that the data belongs to. It is the understanding of the data and its context, which helps data scientists to identify patterns, relationships, and insights that are relevant to the business problem at hand. Domain knowledge is essential for data scientists to ask the right questions, select the appropriate data, and interpret the results accurately. Without domain knowledge, data scientists may miss important insights or draw incorrect conclusions from the data.

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Margin Of Error: Margin of Error is a statistical term that refers to the amount of random sampling error in a survey's results. It is the degree of uncertainty associated with the results of a poll or statistical analysis. Margin of error is calculated by ... Read More >>
Transmission Errors: Transmission errors refer to errors that occur during the transmission of data from one device to another. These errors can be caused by a variety of factors, including noise on the communication channel, interference from other devices, an ... Read More >>
Markov Process: Markov Process is a stochastic process that satisfies the Markov property, which states that the future state of the process depends only on the present state and not on the past states. In other words, the probability distribution of the f ... Read More >>

Domain Knowledge

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