Databases

Databases are organized collections of data that can be accessed, managed, and updated. In the context of data science and artificial intelligence, databases are used to store and manage large amounts of structured and unstructured data. They are essential for data-driven decision making and machine learning algorithms that require access to large amounts of data. Databases can be relational or non-relational, with relational databases using tables to organize data and non-relational databases using other structures such as documents or graphs. They can also be distributed across multiple servers for scalability and fault tolerance. Data scientists and AI experts use databases to store and manage data for various purposes, including data cleaning, data preprocessing, data analysis, and model training and evaluation.
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  • Sample Statistics: Sample statistics refer to the numerical measures that are calculated from a sample of data in order to describe and summarize the characteristics of that sample. These measures include measures of central tendency (such as the mean, median ... Read More >>
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  • Data Linkage: Data linkage is the process of connecting data from different sources that refer to the same entity or event. This process involves identifying and matching records that relate to the same individual, household, or business across different ... Read More >>
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