What are Word Embeddings?

Word embeddings are a fundamental concept in Natural Language Processing (NLP), enabling machines to understand and process human language effectively. They transform words into numerical representations, capturing semantic and syntactic relationships. This guide provides a comprehensive overview of word embeddings, progressing from basic to advanced concepts, and includes practical examples to enhance understanding.