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Transport
Transport in data science refers to the process of moving data from one location to another. This can include transferring data between different storage devices, such as hard drives or cloud servers, or transmitting data over a network, such as the internet. Transport is a critical component of data processing and analysis, as it enables data to be accessed and utilized by different systems and applications. Effective transport mechanisms are essential for ensuring data integrity, security, and efficiency, particularly in large-scale data environments.
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- Solid-state Drives (SSDs): Solid-state drives (SSDs) are data storage devices that use NAND-based flash memory to store and retrieve data. Unlike traditional hard disk drives (HDDs), SSDs have no moving parts, which makes them faster, more reliable, and less prone to ... Read More >>
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- Text Classification: Text classification is the process of categorizing text data into predefined categories based on its content. It is a supervised learning technique in machine learning and natural language processing that involves training a model on a labe ... Read More >>
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