Tomáš Mikolov is a Czech computer scientist known for his influential work in the field of natural language processing (NLP) and deep learning. He gained significant recognition for his contributions to the development of word embeddings, particularly through the creation of the Word2Vec algorithm, which allows words to be represented as vectors in a continuous vector space. This technique has had a major impact on NLP, enabling better semantic understanding and various applications such as machine translation, sentiment analysis, and information retrieval.
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