Advancements In Machine Learning And Natural Language Processing Innovations And Applications
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Technology Driven Language Learning: Innovations and Applications
This edited volume brings together a collection of studies on the use of multimedia in language education, exploring its affordances and challenges in various settings. Split into thematic sections exploring Learning for Fun, Technology in Education and Learning Competencies, the authors examine the role of tools, approaches and topics such as podcasts, Artificial Intelligence, ChatGPT, gamification, and accessibility. The chapters are drawn from a wide variety of global contexts, and also consider intersectional questions of identity and gender. This book will be of interest to students and scholars of Applied Linguistics, Language Education, Teaching and Learning, and Technology in Education.
Proceedings of the International Conference on Artificial Intelligence and Cloud (ICAIC'25)
Dr.A.Bamini, Assistant Professor and Head, Department of Computer Applications, The Standard Fireworks Rajaratnam College for Women (Autonomous), Sivakasi, Tamil Nadu, India. Mrs.P.Muthulakshmi, Assistant Professor, Department of Computer Applications, The Standard Fireworks Rajaratnam College for Women (Autonomous), Sivakasi, Tamil Nadu, India. Mrs.V.Vanthana, Assistant Professor, Department of Computer Applications, The Standard Fireworks Rajaratnam College for Women (Autonomous), Sivakasi, Tamil Nadu, India.
Synergizing AI, DevOps, and Deep Learning: Integrating NLP for Next-Generation Innovations
Author: Venkata Mohit Tamanampudi
language: en
Publisher: Libertatem Media Private Limited
Release Date: 2023-04-12
This book explores the powerful intersection of Artificial Intelligence (AI), DevOps, Natural Language Processing (NLP), and Deep Learning, focusing on how these technologies can be combined to build more efficient, automated, and intelligent systems. It delves into the principles behind AI and DevOps, offering a roadmap for integrating these practices to enable continuous delivery and automation of machine learning models. NLP is highlighted as a critical technology that bridges human-computer interaction, while Deep Learning provides the backbone for powerful, data-driven decision-making systems. Readers will gain practical insights into building scalable systems, utilizing AI-driven DevOps pipelines, and integrating NLP for developing smart, interactive applications. The book will provide real-world examples and step-by-step guides for adopting cutting-edge AI/ML methodologies with the speed and agility of DevOps processes, making it an essential read for data scientists, AI engineers, and DevOps practitioners.