Big data refers to vast and complicated data sets that are created and collected in real time from multiple sources — social media, online transactions, sensor data, and so on. The said data sets are too huge for typical data-processing software to handle. Big data sets can be structured, semi-structured, or unstructured, and they are regularly examined to uncover relevant patterns and insights regarding user and machine behavior. Big data is utilized in machine learning projects, predictive modeling, recommendation systems, and other advanced applications.

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Vs of Big Data

The Vs of big data are three main concepts the term is associated with and characterized by: volume, variety, and velocity.

Deep Learning (DL)

Deep learning is a subfield of AI that uses algorithms inspired by the structure and function of the brain, called neural networks, to process and analyze even bigger amounts of data.

Data Mining

Data mining is the process of uncovering patterns and insights from large datasets. It uses statistical and mathematical methods to analyze data and find relationships, trends, and anomalies.

Unstructured Data

Unstructured data refers to information that does not adhere to a predefined data model or is not organized in a pre-defined manner.

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Big Data

Vs of Big Data

Deep Learning (DL)

Data Mining

Unstructured Data

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