What context can I use each word in?
Learn when and how to use these words with these examples!
regularizer
Example
The L1 regularizer is used to encourage sparsity in the model. [regularizer: noun]
Example
We can use a regularizer to prevent the model from overfitting the training data. [regularizer: verb]
normalizer
Example
We need to apply a normalizer to the data before training the model. [normalizer: noun]
Example
The MinMaxScaler is a type of normalizer that scales the data to a fixed range. [normalizer: noun]
Good things to know
Which word is more common?
Normalizer is more commonly used than regularizer in everyday language, especially in the context of statistics and data analysis. However, both terms are technical and may not be familiar to beginner ESL learners.
What’s the difference in the tone of formality between regularizer and normalizer?
Both regularizer and normalizer are technical terms used in data science and machine learning, and are therefore more formal in tone. They are unlikely to be used in casual conversation or everyday writing.
