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This book serves as a comprehensive guide to the fascinating realms of Artificial Intelligence (AI) and Natural Language Processing (NLP), designed to bridge the gap between foundational theories and practical applications in these dynamic fields. Starting with an exploration of essential AI concepts, the text delves into the intricacies of machine learning, deep learning, and the specific challenges and solutions in NLP. It provides a deep dive into various NLP techniques, from text preprocessing and sentiment analysis to the latest advancements in language modeling. Through detailed…mehr

Produktbeschreibung
This book serves as a comprehensive guide to the fascinating realms of Artificial Intelligence (AI) and Natural Language Processing (NLP), designed to bridge the gap between foundational theories and practical applications in these dynamic fields. Starting with an exploration of essential AI concepts, the text delves into the intricacies of machine learning, deep learning, and the specific challenges and solutions in NLP. It provides a deep dive into various NLP techniques, from text preprocessing and sentiment analysis to the latest advancements in language modeling. Through detailed explanations, practical examples, and real-world case studies, the book equips readers with the knowledge to implement powerful AI and NLP solutions. It covers the use of prominent Python libraries, offering hands-on experience in building, training, and deploying models. The book also contemplates the ethical and societal implications of AI and NLP, preparing readers to navigate the complexities ofthese technologies responsibly.
Autorenporträt
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