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Database - 24


In artificial intelligence and machine learning, a "database" is a structured collection of data that is organized and stored in a way that makes it easy to access and manage.

Databases are often used in machine learning to store large datasets that are used to train models. They can be used to store a variety of data types, including text, images, and numerical data. Databases can be either relational or non-relational.

Relational databases store data in tables with rows and columns, and use structured query language (SQL) to manage and retrieve data. Non-relational databases, on the other hand, use other methods to store and organize data, such as key-value stores, document databases, and graph databases.

In addition to storing data for use in machine learning, databases can also be used to store information about machine learning models, such as metadata about the training process and performance metrics. This information can be used to track the performance of models over time and to help optimize the training process.

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