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"Intelligent Web Development: Merging NLP & Machine Learning" serves as a comprehensive guide to integrating the advanced capabilities of Natural Language Processing (NLP) and Machine Learning (ML) into web programming. This book offers a deep dive into creating dynamic, intelligent web applications, combining theoretical insights with practical, hands-on examples. Readers will explore the essentials of AI technologies, understand how to apply ML models and NLP techniques in web contexts, and learn the best practices for deployment, including the use of Docker and strategies for scaling. Aimed…mehr

Produktbeschreibung
"Intelligent Web Development: Merging NLP & Machine Learning" serves as a comprehensive guide to integrating the advanced capabilities of Natural Language Processing (NLP) and Machine Learning (ML) into web programming. This book offers a deep dive into creating dynamic, intelligent web applications, combining theoretical insights with practical, hands-on examples. Readers will explore the essentials of AI technologies, understand how to apply ML models and NLP techniques in web contexts, and learn the best practices for deployment, including the use of Docker and strategies for scaling. Aimed at developers, tech enthusiasts, and students, the book empowers readers to elevate their web projects with the power of AI, ensuring their skills remain at the forefront of technological innovation.
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