Machine learning (ML) data can be represented in the following forms:
1. Matrix and Spatial.
2. Scalar and Vector.
Machine learning (ML) is also referred to as Artificial intelligence (AI) and it can be defined as a subfield in computer science which is focused on the use of computer algorithms to build a smart computer-controlled robot that has the ability (capacity) to automatically perform and handle tasks that are exclusively designed to be performed by humans or by using human intelligence.
Generally, the data that are generated and used in machine learning (ML) can be represented in the following forms:
Read more on machine learning (ML) here: brainly.com/question/25523571
Answer:
Answer A.
Explanation:
The five main parts are attention, need, satisfaction, visualization and action. Presumption (answer A) is not part of the sequence.
Data Integrity is a function of data that is used to modify or access, only by the individuals who are authorized to do so.
Data integrity focuses on the accuracy, consistency and completeness of data. It also ensures the safety of the given data over its entire lifecycle. In this, data must not be changed in transit and steps must be taken to ensure that data is not altered by unauthorized people.
It is the assurance that the information is trustworthy and unaltered.
To learn more about Data Integrity,
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Answer:
Find the perimeter area and length of diagonal of a rectangle having lengh=15, breath=8 cm
Explanation:
