"Hands-On Implementation of NLP Models" is a comprehensive guide designed to bridge the gap between theoretical concepts and practical applications in Natural Language Processing (NLP). The book covers fundamental NLP concepts, advanced models, and real-world applications.Chapters include an introduction to NLP, basics like text preprocessing and tokenization, classical models such as Naive Bayes and Support Vector Machines, and deep learning techniques including LSTM and transformer models like BERT and GPT. Practical chapters demonstrate building NLP models with Python, real-world case studies, and end-to-end project implementations.
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Sou Professor Assistente em Engenharia Civil com uma sólida experiência em engenharia estrutural, tendo um B.Tech e M.Tech da Maharshi Dayanand University e um Ph.D. centrado na modelação preditiva baseada em ML para otimização de betão. Com mais de quatro anos de investigação, já publiquei 20 artigos em áreas como a otimização estrutural e a modelação de máquinas
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Taschenbuch. Zustand: Neu. Neuware -'Hands-On Implementation of NLP Models' is a comprehensive guide designed to bridge the gap between theoretical concepts and practical applications in Natural Language Processing (NLP). The book covers fundamental NLP concepts, advanced models, and real-world applications.Chapters include an introduction to NLP, basics like text preprocessing and tokenization, classical models such as Naive Bayes and Support Vector Machines, and deep learning techniques including LSTM and transformer models like BERT and GPT. Practical chapters demonstrate building NLP models with Python, real-world case studies, and end-to-end project implementations.Books on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Englisch. Artikel-Nr. 9786207806751
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