What is Normalization - Shikshaglobe

Normalization is a process whereby data is brought into a "normal" or standard range. This can be done through various methods including min-max normalization and z-score normalization. Normalization is often used when working with large data sets as it can help to make the data more manageable and easier to work with. It can also improve the accuracy of certain machine learning algorithms.

Normalization is a process that aims to promote equality and acceptance of all people regardless of their individual differences. It is based on the belief that everyone is unique and should be treated as such. Normalization also recognises that everyone has different needs and that these needs should be met in a way that is respectful of the individual.

It can be used in many different contexts from mathematics to psychology. In terms of data normalization is the process of converting data that is in a non-standard format into a standard format. This allows different systems to communicate with each other and makes it easier to store and analyze the data. Normalization is a key part of database design as it can help to improve performance and reduce errors.

The goal of normalization is to provide supports that allow people with I/DD to live work and socialize in their communities as much as possible. This includes living in homes rather than group homes or institutions having jobs and participating in community activities.

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