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 of these technologies responsibly.
RUPESH KUMAR TIPUAssistant ProfessorDepartment of Civil EngineeringSchool of Engineering & TechnologyK. R. Mangalam UniversityGurugram, Haryana India
Über den Autor
Sono professore assistente in ingegneria civile con un solido background in ingegneria strutturale, ho conseguito un B.Tech e un M.Tech presso la Maharshi Dayanand University e un dottorato di ricerca incentrato sulla modellazione predittiva basata su ML per l'ottimizzazione del calcestruzzo. In oltre quattro anni di ricerca, ho pubblicato 20 articoli in settori quali l'ottimizzazione strutturale e la modellazione automatica.
Klappentext
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 of these technologies responsibly.
