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Hardcover. Condizione: new. Hardcover. This book provides insights into how deep learning techniques impact language and speech processing applications. The authors discuss the promise, limits and the new challenges in deep learning. The book covers the major differences between the various applications of deep learning and the classical machine learning techniques. The main objective of the book is to present a comprehensive survey of the major applications and research oriented articles based on deep learning techniques that are focused on natural language and speech signal processing. The book is relevant to academicians, research scholars, industrial experts, scientists and post graduate students working in the field of speech signal and natural language processing and would like to add deep learning to enhance capabilities of their work.Discusses current research challenges and future perspective about how deep learning techniques can be applied to improve NLP and speech processing applications;Presents and escalates the research trends and future direction of language and speech processing;Includes theoretical research, experimental results, and applications of deep learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Taschenbuch. Condizione: Neu. Performance Evaluation of Cryptographic Algorithms | A key to open the world | Mohit Mittal | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659209055 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Condizione: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

Hardcover. Condizione: Brand New. 177 pages. 9.25x6.10x0.63 inches. In Stock.

Buch. Condizione: Neu. Neuware -This book provides insights into how deep learning techniques impact language and speech processing applications. The authors discuss the promise, limits and the new challenges in deep learning. The book covers the major differences between the various applications of deep learning and the classical machine learning techniques. The main objective of the book is to present a comprehensive survey of the major applications and research oriented articles based on deep learning techniques that are focused on natural language and speech signal processing. The book is relevant to academicians, research scholars, industrial experts, scientists and post graduate students working in the field of speech signal and natural language processing and would like to add deep learning to enhance capabilities of their work.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 180 pp. Englisch.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides insights into how deep learning techniques impact language and speech processing applications. The authors discuss the promise, limits and the new challenges in deep learning. The book covers the major differences between the various applications of deep learning and the classical machine learning techniques. The main objective of the book is to present a comprehensive survey of the major applications and research oriented articles based on deep learning techniques that are focused on natural language and speech signal processing. The book is relevant to academicians, research scholars, industrial experts, scientists and post graduate students working in the field of speech signal and natural language processing and would like to add deep learning to enhance capabilities of their work.Discusses current research challenges and future perspective about how deep learning techniques can be applied to improve NLP and speech processing applications;Presents and escalates the research trends and future direction of language and speech processing;Includes theoretical research, experimental results, and applications of deep learning.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides insights into how deep learning techniques impact language and speech processing applications. The authors discuss the promise, limits and the new challenges in deep learning. The book covers the major differences between the various applications of deep learning and the classical machine learning techniques. The main objective of the book is to present a comprehensive survey of the major applications and research oriented articles based on deep learning techniques that are focused on natural language and speech signal processing. The book is relevant to academicians, research scholars, industrial experts, scientists and post graduate students working in the field of speech signal and natural language processing and would like to add deep learning to enhance capabilities of their work.Discusses current research challenges and future perspective about how deep learning techniques can be applied to improve NLP and speech processing applications;Presents and escalates the research trends and future direction of language and speech processing;Includes theoretical research, experimental results, and applications of deep learning.

Taschenbuch. Condizione: Neu. Deep Learning Approaches for Spoken and Natural Language Processing | Virender Kadyan (u. a.) | Taschenbuch | xii | Englisch | 2022 | Springer | EAN 9783030797805 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Condizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book provides insights into how deep learning techniques impact language and speech processing applications. The authors discuss the promise, limits and the new challenges in deep learning. The book covers the major differences between the various applications of deep learning and the classical machine learning techniques. The main objective of the book is to present a comprehensive survey of the major applications and research oriented articles based on deep learning techniques that are focused on natural language and speech signal processing. The book is relevant to academicians, research scholars, industrial experts, scientists and post graduate students working in the field of speech signal and natural language processing and would like to add deep learning to enhance capabilities of their work.Discusses current research challenges and future perspective about how deep learning techniques can be applied to improve NLP and speech processing applications;Presents and escalates the research trends and future direction of language and speech processing;Includes theoretical research, experimental results, and applications of deep learning.

Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condizione: Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Condizione: new. Hardcover. This comprehensive volume delves deep into the diverse applications and implications of generative AI across accounting, finance, economics, business, and management, providing readers with a holistic understanding of this rapidly evolving landscape. Generative Artificial Intelligence in Finance: Large Language Models, Interfaces, and Industry Use Cases to Transform Accounting and Finance Processes provides a comprehensive guide to ethically harnessing generative AI systems to reshape financial management. Generative AI is a key theme across the accounting and finance sectors to drive significant optimizations leading to sustainability. Across 22 chapters, leading researchers supply innovative applications of large language models across the economic realm. Through detailed frameworks, real-world case studies, and governance recommendations, this book highlights applied research for generative AI in finance functions. Several chapters demonstrate how data-driven insights from AI systems can optimize complex financial processes to reduce resource usage, lower costs, and drive positive environmental impact over the long term. In addition, chapters on AI-enabled risk assessment, fraud analytics, and regulatory technology highlight applied research for generative AI in finance. The book also explores emerging applications like leveraging blockchain and metaverse interfaces to create generative AI models that can revolutionize areas from carbon credit trading to virtual audits. Overall, with in-depth applied research at the nexus of sustainability and optimization enabled by data science and generative AI, the book offers a compilation of best practices in leveraging AI for optimal, ethical, and future-oriented financial management. Audience The audience for this book is quite diverse, ranging from financial and accounting experts across banking, insurance, consultancies, regulatory agencies, and corporations seeking to enhance productivity and efficiency; business leaders want to implement ethical and compliant AI practices; researchers exploring the domain of AI and finance. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Hardcover. Condizione: new. Hardcover. This comprehensive volume delves deep into the diverse applications and implications of generative AI across accounting, finance, economics, business, and management, providing readers with a holistic understanding of this rapidly evolving landscape. Generative Artificial Intelligence in Finance: Large Language Models, Interfaces, and Industry Use Cases to Transform Accounting and Finance Processes provides a comprehensive guide to ethically harnessing generative AI systems to reshape financial management. Generative AI is a key theme across the accounting and finance sectors to drive significant optimizations leading to sustainability. Across 22 chapters, leading researchers supply innovative applications of large language models across the economic realm. Through detailed frameworks, real-world case studies, and governance recommendations, this book highlights applied research for generative AI in finance functions. Several chapters demonstrate how data-driven insights from AI systems can optimize complex financial processes to reduce resource usage, lower costs, and drive positive environmental impact over the long term. In addition, chapters on AI-enabled risk assessment, fraud analytics, and regulatory technology highlight applied research for generative AI in finance. The book also explores emerging applications like leveraging blockchain and metaverse interfaces to create generative AI models that can revolutionize areas from carbon credit trading to virtual audits. Overall, with in-depth applied research at the nexus of sustainability and optimization enabled by data science and generative AI, the book offers a compilation of best practices in leveraging AI for optimal, ethical, and future-oriented financial management. Audience The audience for this book is quite diverse, ranging from financial and accounting experts across banking, insurance, consultancies, regulatory agencies, and corporations seeking to enhance productivity and efficiency; business leaders want to implement ethical and compliant AI practices; researchers exploring the domain of AI and finance. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condizione: New.

Condizione: New. 1st edition NO-PA16APR2015-KAP.

Condizione: New. 2025. 1st Edition. hardcover. . . . . .

Hardcover. Condizione: Brand New. 400 pages. 7.87x10.24x1.97 inches. In Stock.

Condizione: New. In.

Paperback. Condizione: New. Amidst the relentless pace of the contemporary business landscape, information technology (IT) projects grapple with an escalating challenge - the need to deliver solutions swiftly, adapt to evolving customer demands, and create value within the ever-shifting dynamics of the market. In this demanding environment, the traditional project management paradigms often fall short, necessitating a shift towards methodologies that embody flexibility, customer collaboration, and iterative development. Herein lies the crux of the issue faced by modern IT projects. Practical Approaches to Agile Project Management is a guide in the tumult of IT project complexities. This book provides a comprehensive solution to the complexities of contemporary project management by delving into topics such as alternative pricing models and the alignment of organizational cultures in IT partnerships, making it an indispensable resource for professionals, academics, and students navigating the domains of business, information technology, or project management. This book takes a pioneering approach, leveraging established models like Maslow's Hierarchy and the Kano Model to provide actionable frameworks for understanding customer needs, predicting satisfaction, and crafting compelling solutions. Bridging the gap between theory and practice, it presents pragmatic methodologies for activities such as user story refinement, feature prioritization, and gathering user feedback. Drawing on real-world case studies, the book distills the collective experiences of renowned academics and seasoned professionals into scientifically backed advice, guiding practitioners through the maze of agile IT projects. This is ultimately a guide that equips readers with the knowledge needed to navigate and succeed in the real-world challenges of agile IT initiatives. Primarily aimed at IT professionals involved in project management and service delivery, this book caters to a broad spectrum of individuals, including IT Project Managers, Consultants, Entrepreneurs, and Executives at IT Service Firms. Additionally, it extends its value to Business Leaders undertaking IT-enabled transformations and Academic Researchers delving into the intersection of agile methodologies and IT service delivery. From prioritization strategies for IT Project Managers to frameworks for consultants, entrepreneurs, and executives, this book addresses the diverse needs of its readership, offering practical, evidence-based insights to optimize IT service delivery across various organizational contexts.

Condizione: New. 2025. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Hardcover. Condizione: new. Hardcover. This comprehensive volume delves deep into the diverse applications and implications of generative AI across accounting, finance, economics, business, and management, providing readers with a holistic understanding of this rapidly evolving landscape. Generative Artificial Intelligence in Finance: Large Language Models, Interfaces, and Industry Use Cases to Transform Accounting and Finance Processes provides a comprehensive guide to ethically harnessing generative AI systems to reshape financial management. Generative AI is a key theme across the accounting and finance sectors to drive significant optimizations leading to sustainability. Across 22 chapters, leading researchers supply innovative applications of large language models across the economic realm. Through detailed frameworks, real-world case studies, and governance recommendations, this book highlights applied research for generative AI in finance functions. Several chapters demonstrate how data-driven insights from AI systems can optimize complex financial processes to reduce resource usage, lower costs, and drive positive environmental impact over the long term. In addition, chapters on AI-enabled risk assessment, fraud analytics, and regulatory technology highlight applied research for generative AI in finance. The book also explores emerging applications like leveraging blockchain and metaverse interfaces to create generative AI models that can revolutionize areas from carbon credit trading to virtual audits. Overall, with in-depth applied research at the nexus of sustainability and optimization enabled by data science and generative AI, the book offers a compilation of best practices in leveraging AI for optimal, ethical, and future-oriented financial management. Audience The audience for this book is quite diverse, ranging from financial and accounting experts across banking, insurance, consultancies, regulatory agencies, and corporations seeking to enhance productivity and efficiency; business leaders want to implement ethical and compliant AI practices; researchers exploring the domain of AI and finance. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Condizione: New. Amidst the relentless pace of the contemporary business landscape, information technology (IT) projects grapple with an escalating challenge - the need to deliver solutions swiftly, adapt to evolving customer demands, and create value within the ever-shifting dynamics of the market. In this demanding environment, the traditional project management paradigms often fall short, necessitating a shift towards methodologies that embody flexibility, customer collaboration, and iterative development. Herein lies the crux of the issue faced by modern IT projects. Practical Approaches to Agile Project Management is a guide in the tumult of IT project complexities. This book provides a comprehensive solution to the complexities of contemporary project management by delving into topics such as alternative pricing models and the alignment of organizational cultures in IT partnerships, making it an indispensable resource for professionals, academics, and students navigating the domains of business, information technology, or project management. This book takes a pioneering approach, leveraging established models like Maslow's Hierarchy and the Kano Model to provide actionable frameworks for understanding customer needs, predicting satisfaction, and crafting compelling solutions. Bridging the gap between theory and practice, it presents pragmatic methodologies for activities such as user story refinement, feature prioritization, and gathering user feedback. Drawing on real-world case studies, the book distills the collective experiences of renowned academics and seasoned professionals into scientifically backed advice, guiding practitioners through the maze of agile IT projects. This is ultimately a guide that equips readers with the knowledge needed to navigate and succeed in the real-world challenges of agile IT initiatives. Primarily aimed at IT professionals involved in project management and service delivery, this book caters to a broad spectrum of individuals, including IT Project Managers, Consultants, Entrepreneurs, and Executives at IT Service Firms. Additionally, it extends its value to Business Leaders undertaking IT-enabled transformations and Academic Researchers delving into the intersection of agile methodologies and IT service delivery. From prioritization strategies for IT Project Managers to frameworks for consultants, entrepreneurs, and executives, this book addresses the diverse needs of its readership, offering practical, evidence-based insights to optimize IT service delivery across various organizational contexts.