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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  • Labeled Data: Labeled data is a type of data that has been tagged with one or more labels, or categories, that identify the characteristics of the data. In the context of data science and artificial intelligence, labeled data is used to train machine lea ... Read More >>
  • Knowledge Graphs: Knowledge Graphs are a type of database that stores information in a graph format, where nodes represent entities and edges represent relationships between them. In Data Science and Artificial Intelligence, Knowledge Graphs are used to repr ... Read More >>
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