Normalizer: meaning, definitions and examples

Used mostly in fields like data science or engineering to describe a tool or technique that adjusts data to a standard scale. It can also be used in social contexts to describe someone who brings situations or behaviors to a common or acceptable state.

• The normalizer algorithm adjusted the dataset for analysis.
• She acted as a normalizer in the group, ensuring everyone followed the rules.

Employed in contexts where consistency and uniformity are necessary, like in manufacturing, education, or quality control.

• The standardizer ensured that all the components met the quality criteria.
• To improve grading fairness, the school hired a standardizer.

Primarily used in computing and writing to refer to a tool or person that designs or adapts content (like text or data) according to a specific format or style.

• Use the formatter to ensure your document meets the submission guidelines.
• The formatter script adjusted all the dates in the dataset to the same format.

Refers to someone who complies with rules, standards, or laws. Often used in a social or behavioral context, and it can have a negative connotation, implying a lack of individuality.

• John is a conformer who always follows the company's dress code.
• In a society of non-conformists, she stood out as a conformer.

Used in data processing and machine learning to rescale data to a range, typically between 0 and 1. It modifies the values so that they fit within a standardized range but not necessarily around a mean of zero.

• We should apply a normalizer to our dataset to ensure all features are on the same scale.
• By using a normalizer, the data points are now within the range of 0 to 1.

Used to rescale data to have a mean of zero and a standard deviation of one. This is useful in machine learning when you want to remove bias due to different scales of features.

• Before training the model, we should use a standardizer to ensure our data is centered around zero.
• Applying a standardizer can significantly improve the performance of our machine learning algorithms.

Another term for standardization, focusing on converting data to a distribution with a mean of zero and a standard deviation of one. This method is particularly useful in scenarios where you need to understand how far a data point is from the mean in terms of standard deviations.

• By using a z-score scaler, we can identify outliers more easily.
• The data points are transformed using the z-score scaler, which helps in understanding their relative distance from the mean.

Used primarily in the context of data processing and machine learning to refer to a tool or function that normalizes data.

• The normalizer improved the quality of the data before feeding it into the machine learning model.
• You can use a normalizer to adjust the data values to a common scale.

Used when making things conform to a certain standard or criteria, often in manufacturing, education, or quality control.

• The company decided to standardize its production processes to improve efficiency.
• By standardizing the test, we can ensure all students are evaluated equally.

Typically used to indicate making something regular or following a rule, often found in legal, financial, or technical contexts.

• The new policy aims to regularize the existing informal settlements.
• We need to regularize these transactions to comply with the new regulations.

To make something conform to a standard or usual practice, often used in various fields including data processing, sociology, and everyday language.

• We need to normalize the data to ensure consistency.
• The government is working to normalize relations between the two countries.