10 Ways to Use Embeddings for Tabular ML Tasks
10 Ways to Use Embeddings for Tabular ML TasksImage by Editor Introduction Embeddings — vector-based numerical representations of typically unstructured data like text — have been primarily popularized in the field of natural language processing (NLP). But they are also a powerful tool to represent or supplement tabular data in other machine learning workflows. Examples…