Entity embeddings are powerful representations that convert categorical variables into continuous vector spaces, allowing machine learning models to learn complex relationships in the data. This technique is particularly useful in areas like natural language processing, recommendation systems, and structured data analysis.Entity embeddings are powerful representations that convert categorical variables into continuous vector spaces, allowing machine learning models to learn complex relationships in the data. This technique is particularly useful in areas like natural language processing, recommendation systems, and structured data analysis.