Advancements In Machine Learning And Natural Language Processing Innovations And Applications

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Technology Driven Language Learning Innovations And Applications
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Author : Deepanjali Mishra
language : en
Publisher: Springer Nature
Release Date : 2025-08-23
Technology Driven Language Learning Innovations And Applications written by Deepanjali Mishra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-23 with Education categories.
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
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Author :
language : en
Publisher: Leilani Katie Publication
Release Date : 2025-05-17
Proceedings Of The International Conference On Artificial Intelligence And Cloud Icaic 25 written by and has been published by Leilani Katie Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-17 with Computers categories.
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
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Author : Venkata Mohit Tamanampudi
language : en
Publisher: Libertatem Media Private Limited
Release Date : 2023-04-12
Synergizing Ai Devops And Deep Learning Integrating Nlp For Next Generation Innovations written by Venkata Mohit Tamanampudi and has been published by Libertatem Media Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-12 with Computers categories.
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.
Advances On Machine And Deep Learning Techniques In Modern Era
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Author : Dr. R. Pradeep Kumar Reddy
language : en
Publisher: Academic Guru Publishing House
Release Date : 2024-08-09
Advances On Machine And Deep Learning Techniques In Modern Era written by Dr. R. Pradeep Kumar Reddy and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-09 with Study Aids categories.
“Advances on Machine and Deep Learning Techniques in the Modern Era” is designed for a diverse audience interested in the transformative potential of AI technologies. It begins with foundational principles and progresses to advanced topics such as neural networks, natural language processing, and reinforcement learning. Each chapter presents key concepts, algorithms, and real world applications, enhancing the reader’s understanding and skills. Additionally, ethical considerations are discussed, highlighting the importance of responsible AI development. By bridging theory and practice, this book not only aims to educate but also inspire innovative solutions to current challenges in the AI landscape, making it an essential addition to the library of anyone passionate about the future of technology.
Natural Language Processing Theory Techniques And Applications For Conversational Ai Systems
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Author : PRAKASH SUBRAMANI RAJKUMAR KYADASU NARRAIN PRITHVI DHARUMAN DR. SHAILESH K SINGH
language : en
Publisher: DeepMisti Publication
Release Date : 2024-11-10
Natural Language Processing Theory Techniques And Applications For Conversational Ai Systems written by PRAKASH SUBRAMANI RAJKUMAR KYADASU NARRAIN PRITHVI DHARUMAN DR. SHAILESH K SINGH and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-10 with Computers categories.
In the ever-evolving landscape of the modern world, the synergy between technology and management has become a cornerstone of innovation and progress. This book, Natural Language Processing Theory, Techniques, and Applications for Conversational AI Systems, is conceived to bridge the gap between emerging technological advancements in natural language processing (NLP) and their strategic application in conversational AI systems. Our objective is to equip readers with the tools and insights necessary to excel in this dynamic intersection of fields. This book is structured to provide a comprehensive exploration of the methodologies and strategies that define the innovation of NLP technologies, particularly focusing on techniques and applications relevant to conversational AI. From foundational theories to advanced applications, we delve into the critical aspects that drive successful innovation in AI-driven language systems. We have made a concerted effort to present complex concepts in a clear and accessible manner, making this work suitable for a diverse audience, including students, developers, and industry professionals. In authoring this book, we have drawn upon the latest research and best practices to ensure that readers not only gain a robust theoretical understanding but also acquire practical skills that can be applied in real-world conversational AI scenarios. The chapters are designed to strike a balance between depth and breadth, covering topics ranging from NLP fundamentals and machine learning techniques to the strategic management of AI-driven communication. Additionally, we emphasize the importance of effective communication, dedicating sections to the art of developing AI systems that deliver precise and contextually aware conversations. The inspiration for this book arises from a recognition of the crucial role that NLP and conversational AI systems play in shaping the future of digital interactions. We are profoundly grateful to Chancellor Shri Shiv Kumar Gupta of Maharaja Agrasen Himalayan Garhwal University for his unwavering support and vision. His dedication to fostering academic excellence and promoting a culture of innovation has been instrumental in bringing this project to fruition. We hope this book will serve as a valuable resource and inspiration for those eager to deepen their understanding of how NLP theory and conversational AI systems can be harnessed together to drive innovation. We believe that the knowledge and insights contained within these pages will empower readers to lead the way in creating intelligent systems that will define the future of human-computer interaction. Thank you for joining us on this journey. Authors
Advanced Deep Learning Techniques For Natural Language Understanding A Comprehensive Guide
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Author : Adam Jones
language : en
Publisher: Walzone Press
Release Date : 2025-01-09
Advanced Deep Learning Techniques For Natural Language Understanding A Comprehensive Guide written by Adam Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-09 with Computers categories.
Immerse yourself in the transformative power of deep learning in natural language processing (NLP) with "Advanced Deep Learning Techniques for Natural Language Understanding: A Comprehensive Guide." This all-encompassing volume unravels the complexities of NLP, offering readers a thorough exploration of how cutting-edge deep learning methodologies can be harnessed to comprehend and generate human language with unprecedented precision and efficiency. From the foundational principles of NLP and the underlying mathematical frameworks of deep learning to the practical applications of state-of-the-art models in text classification, machine translation, and more, this guide covers every aspect. Whether you are a novice eager to embark on your NLP journey, a practitioner keen to expand your expertise, or a researcher aspiring to explore the latest advancements, this book delivers the essential knowledge, examples, and insights you require. "Advanced Deep Learning Techniques for Natural Language Understanding: A Comprehensive Guide" is more than a technical manual; it is a gateway to the future of communication, offering a lucid and engaging overview of the most popular deep learning frameworks, the development and deployment of models, and the ethical considerations in NLP. With this guide, you will: - Grasp the core principles and challenges of NLP. - Master the mathematical foundations necessary for creating sophisticated models. - Explore the functionalities of different deep learning frameworks such as TensorFlow, PyTorch, and Keras. - Implement word embeddings and vectorization techniques for text analysis. - Dive into sequence modeling, attention mechanisms, and transformers to refine your NLP models. - Discover practical solutions for real-world applications and the potential of generative models for text. Prepare to embark on a comprehensive journey through the landscape of NLP, equipped with the tools and knowledge to leverage the power of deep learning. "Advanced Deep Learning Techniques for Natural Language Understanding: A Comprehensive Guide" is your essential resource for unlocking the potential of language, transforming how machines understand us and how we interact with the digital world.
Ai Applications And Pedagogical Innovation
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Author : Wang, Viktor
language : en
Publisher: IGI Global
Release Date : 2025-07-11
Ai Applications And Pedagogical Innovation written by Wang, Viktor and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-11 with Education categories.
AI is rapidly transforming education, offering more opportunities for pedagogical innovation. By integrating AI tools and systems into teaching and learning environments, educators can now personalize instructions and enhance student engagement. As educational institutions continue to explore the potential of AI, it becomes increasingly important to understand how these innovations can be harnessed to improve learning outcomes and reshape traditional pedagogical models. AI Applications and Pedagogical Innovation explores the transformation of AI in the educational field. This book provides a critical lens on equity and access, encouraging the development of inclusive AI-driven solutions that benefit diverse learners worldwide. Covering topics such as AI, education, and technology, this book is an excellent resource for researchers, educators, administrators, policymakers, instructional designers, academicians, and more.
Innovation Strategy For The Future Of Teaching And Learning
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Author : Mohammed Albakri
language : en
Publisher: Springer Nature
Release Date : 2025-06-14
Innovation Strategy For The Future Of Teaching And Learning written by Mohammed Albakri and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-14 with Business & Economics categories.
This book delves into the contemporary education paradox between traditional and digital education, with particular emphasis on the contemporary digital education tools and technologies that can facilitate education practices beyond pedagogy. The central argument of this book is that traditional education methods are no longer sufficient to meet the needs of education institutions and stakeholders, which is why digital education is the future to satisfy these needs. It considers the holistic nature of education practice beyond pedagogy and digital education technology to include other practices such as knowledge management, policy, and ethics, among other practices led by contemporary ICTs. It will be a vitally important resource for scholars and students of education practice, emerging technologies and innovation management, as well as business and organisational ethics.
Exploring Psychology Social Innovation And Advanced Applications Of Machine Learning
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Author : Raygoza-L., Maria E.
language : en
Publisher: IGI Global
Release Date : 2025-03-06
Exploring Psychology Social Innovation And Advanced Applications Of Machine Learning written by Raygoza-L., Maria E. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-06 with Computers categories.
Machine learning (ML algorithms can be used to better understand human behavior in its various developmental stages and to assist in addressing psychological issues. Additionally, in the realm of mental health and well-being, algorithms can assist with early detection of disorders and customization of treatments as well as personalize recommendations and suggestions based on user behavior. By focusing on user experience and usability, ML may be used to address challenges faced by private enterprises and social issues. Exploring Psychology, Social Innovation and Advanced Applications of Machine Learning explores the relationships between human psychology and machine learning technology, enabling researchers to delve into areas such as user interface design, ethics in artificial intelligence, and the social impact of algorithms. Furthermore, it promotes interdisciplinary collaboration by bringing together perspectives from different fields, which could stimulate new research and innovative approaches in the field of machine learning. Covering topics such as industrial processes, digital therapy, and machine vision, this book is an excellent resource for psychologists, computer scientists, engineers, healthcare practitioners, educators, business leaders, policymakers, professionals, researchers, scholars, academicians, and more.
Ai Powered Productivity
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Author : Dr. Asma Asfour
language : en
Publisher: Asma Asfour
Release Date : 2024-07-29
Ai Powered Productivity written by Dr. Asma Asfour and has been published by Asma Asfour this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-29 with Computers categories.
This book, "AI-Powered Productivity," aims to provide a guide to understanding, utilizing AI and generative tools in various professional settings. The primary purpose of this book is to offer readers a deep dive into the concepts, tools, and practices that define the current AI landscape. From foundational principles to advanced applications, this book is structured to cater to both beginners and professionals looking to enhance their knowledge and skills in AI. This book is divided into nine chapters, each focusing on a specific aspect of AI and its practical applications: Chapter 1 introduces the basic concepts of AI, its impact on various sectors, and key factors driving its rapid advancement, along with an overview of generative AI tools. Chapter 2 delves into large language models like ChatGPT, Google Gemini, Claude, Microsoft's Turing NLG, and Facebook's BlenderBot, exploring their integration with multimodal technologies and their effects on professional productivity. Chapter 3 offers a practical guide to mastering LLM prompting and customization, including tutorials on crafting effective prompts and advanced techniques, as well as real-world examples of AI applications. Chapter 4 examines how AI can enhance individual productivity, focusing on professional and personal benefits, ethical use, and future trends. Chapter 5 addresses data-driven decision- making, covering data analysis techniques, AI in trend identification, consumer behavior analysis, strategic planning, and product development. Chapter 6 discusses strategic and ethical considerations of AI, including AI feasibility, tool selection, multimodal workflows, and best practices for ethical AI development and deployment. Chapter 7 highlights the role of AI in transforming training and professional development, covering structured training programs, continuous learning initiatives, and fostering a culture of innovation and experimentation. Chapter 8 provides a guide to successfully implementing AI in organizations, discussing team composition, collaborative approaches, iterative development processes, and strategic alignment for AI initiatives. Finally, Chapter 9 looks ahead to the future of work, preparing readers for the AI revolution by addressing training and education, career paths, common fears, and future trends in the workforce. The primary audience for the book is professionals seeking to enhance productivity and organizations or businesses. For professionals, the book targets individuals from various industries, reflecting its aim to reach a broad audience across different professional fields. It is designed for employees at all levels, offering valuable insights to both newcomers to AI and seasoned professionals. Covering a range of topics from foundational concepts to advanced applications, the book is particularly relevant for those interested in improving efficiency, with a strong emphasis on practical applications and productivity tools to optimize work processes. For organizations and businesses, the book serves as a valuable resource for decision-makers and managers, especially with chapters on data-driven decision-making, strategic considerations, and AI implementation. HR and training professionals will find the focus on AI in training and development beneficial for talent management, while IT and technology teams will appreciate the information on AI tools and concepts.