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Word Embeddings the means of turning natural language into numerical vectors for machine learning tasks. Martin Keen explains how this process works, the varies means of creating vectors like GLOVE, word2vec, CBOW, and the impact of new transformer models are having on completing natural language processing (NLP) tasks.

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