What is Encoding?

‍

Encoding in the context of machine learning and data processing refers to the process of converting data into a specific format that can be easily understood and processed by a computer or algorithm. It’s a way of transforming raw input data (like text, images, or categorical variables) into a numerical format that machine learning models can work with.

‍

In the graph, we see how text is represented as numerical values, which helps models understand relationships between different words. For example, The word "King" is represented as (male, high royalty) and might be encoded as numerical values for features like gender (0.2), age (0.9), and other characteristics (0.7).

‍

These numerical encodings allow the model to process these words and understand their relationships, like how "King" and "Queen" are similar in age but differ in gender.

‍