Question

which data type is used to teach a machine learning algorithm during structured learning ​

Answer 1

Answer:

The data type which is used to teach a machine learning algorithm during structured learning is called training data

Answer 2

Answer:

The data type that is used to teach a machine learning algorithm during structured learning is Big Data.

Explanation:

• Big data is defined as data that is more varied, arriving at a faster rate and in larger volumes.
• Furthermore, the three Vs are another name for this.

• Big data, especially from new data sources, is simply a term for larger, more complex data collections.
• These data sets are so large that they just cannot be handled by conventional data processing software.
• However, these enormous amounts of data can be leveraged to solve business issues that were previously impossible to solve.
• You can get more comprehensive answers thanks to big data because you have access to more data.

• More thorough responses increase data confidence, which calls for an entirely different strategy for approaching issues.

The big data three Vs

Volume:

• The volume of data is important.
• You'll need to process large amounts of low-density, unstructured data when working with big data.
• Also we can say that this can be unvalued data from sources like Twitter data feeds, clickstreams from websites or mobile apps, or sensor-enabled hardware.
• This amount of data may reach tens of gigabytes for some corporations. Others might need several hundred petabytes.

Velocity :

• Velocity refers to how quickly data is received and (perhaps) used.
• In contrast to being written to disc, the highest velocity of data often streams straight into memory.
• Furthermore, some internet-enabled smart goods function in real time or almost real time, necessitating real-time analysis and decision-making.

Variety:

• The various available sorts of data are referred to as variety.
• In a relational database, traditional data kinds were organised and easily suited.
• Data now comes in new unstructured data formats thanks to the growth of big data.
• Text, audio, and video are examples of semistructured and unstructured data types that require further preprocessing in order to create meaning and enable metadata.

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