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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RAM: RAM stands for Random Access Memory, which is a type of computer memory that allows data to be accessed randomly, meaning any byte of memory can be accessed without touching the preceding bytes. RAM is a volatile memory, which means that it ... Read More >>
Difference: In Data Science and Artificial Intelligence, difference refers to the distinction or variation between two or more data points or sets. It is a measure of dissimilarity that can be calculated using various methods such as Euclidean distance ... Read More >>
ISO 8601: ISO 8601 is an international standard that defines the representation of dates, times, and time intervals in a machine-readable format. It specifies a format for dates as YYYY-MM-DD and a format for times as hh:mm:ss. The standard also allo ... Read More >>

Domain Knowledge

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