Future And Emerging Trends In Language Technology Machine Learning And Big Data

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Future and Emerging Trends in Language Technology. Machine Learning and Big Data

José F Quesada,Francisco-Jesús Martín Mateos,Teresa López Soto
Future and Emerging Trends in Language Technology Machine Learning and Big Data Book PDF

Author : José F Quesada,Francisco-Jesús Martín Mateos,Teresa López Soto
Publisher : Springer
Page : 199 pages
File Size : 52,7 Mb
Release : 2017-10-28
Category : Computers
ISBN : 9783319693651

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Future and Emerging Trends in Language Technology. Machine Learning and Big Data by José F Quesada,Francisco-Jesús Martín Mateos,Teresa López Soto Pdf

This book constitutes revised selected papers from the Second International Workshop on Future and Emerging Trends in Language Technology, FETLT 2016, which took place in Seville, Spain, in November 2016. The 10 full papers and 5 position papers presented in this volume were carefully reviewed and selected from 18 submissions. In 2016 the conference focused on Machine Learning and Big Data.

Handbook of Research on Emerging Trends and Applications of Machine Learning

Solanki, Arun,Kumar, Sandeep,Nayyar, Anand
Handbook of Research on Emerging Trends and Applications of Machine Learning Book PDF

Author : Solanki, Arun,Kumar, Sandeep,Nayyar, Anand
Publisher : IGI Global
Page : 674 pages
File Size : 49,9 Mb
Release : 2019-12-13
Category : Computers
ISBN : 9781522596455

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Handbook of Research on Emerging Trends and Applications of Machine Learning by Solanki, Arun,Kumar, Sandeep,Nayyar, Anand Pdf

As today’s world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give computer systems the ability to understand and its popularity has circulated through many trades. Understanding this technology and its countless implementations is pivotal for scientists and researchers across the world. The Handbook of Research on Emerging Trends and Applications of Machine Learning provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, this book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science. While highlighting topics including image processing, predictive analytics, and smart grid management, this book is ideally designed for developers, data scientists, business analysts, information architects, finance agents, healthcare professionals, researchers, retail traders, professors, and graduate students seeking current research on the benefits, implementations, and trends of machine learning.

Data Science with Semantic Technologies

Archana Patel,Narayan C. Debnath
Data Science with Semantic Technologies Book PDF

Author : Archana Patel,Narayan C. Debnath
Publisher : CRC Press
Page : 315 pages
File Size : 45,8 Mb
Release : 2023-06-20
Category : Computers
ISBN : 9781000881202

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Data Science with Semantic Technologies by Archana Patel,Narayan C. Debnath Pdf

As data is an important asset for any organization, it is essential to apply semantic technologies in data science to fulfill the need of any organization. This first volume of a two-volume handbook set provides a roadmap for new trends and future developments of data science with semantic technologies. Data Science with Semantic Technologies: New Trends and Future Developments highlights how data science enables the user to create intelligence through these technologies. In addition, this book offers the answers to various questions such as: Can semantic technologies facilitate data science? Which type of data science problems can be tackled by semantic technologies? How can data scientists benefit from these technologies? What is the role of semantic technologies in data science? What is the current progress and future of data science with semantic technologies? Which types of problems require the immediate attention of the researchers? What should be the vision 2030 for data science? This volume can serve as an important guide toward applications of data science with semantic technologies for the upcoming generation and, thus, it is a unique resource for scholars, researchers, professionals, and practitioners in this field.

Human Interaction & Emerging Technologies (IHIET-AI 2024)

Tareq Ahram,Redha Taiar
Human Interaction Emerging Technologies IHIET AI 2024 Book PDF

Author : Tareq Ahram,Redha Taiar
Publisher : AHFE Conference
Page : 515 pages
File Size : 46,5 Mb
Release : 2024-04-25
Category : Technology & Engineering
ISBN : 9781958651964

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Human Interaction & Emerging Technologies (IHIET-AI 2024) by Tareq Ahram,Redha Taiar Pdf

Proceedings of the 11th International Conference on Human Interaction and Emerging Technologies: Artificial Intelligence & Future Applications (IHIET- AI 2024) which was held April 25-27, 2024, at the Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland

Digital Teaching and Learning: Perspectives for English Language Education

Christiane Lütge,Thorsten Merse
Digital Teaching and Learning Perspectives for English Language Education Book PDF

Author : Christiane Lütge,Thorsten Merse
Publisher : Narr Francke Attempto Verlag
Page : 257 pages
File Size : 54,6 Mb
Release : 2021-03-29
Category : Literary Criticism
ISBN : 9783823302094

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Digital Teaching and Learning: Perspectives for English Language Education by Christiane Lütge,Thorsten Merse Pdf

The ongoing digitalization of social environments and personal lifeworlds has made it crucial to pinpoint the possibilities of digital teaching and learning also in the context of English language education. This book offers university students, trainee teachers, in-service teachers and teacher educators an in-depth exploration of the intricate relationship between English language education and digital teaching and learning. Located at the intersection of research, theory and teaching practice, it thoroughly legitimizes the use of digital media in English language education and provides concrete scenarios for their competence-oriented and task-based classroom use.

Machine Learning and Big Data Analytics

Rajiv Misra,Rana Omer,Muttukrishnan Rajarajan,Bharadwaj Veeravalli,Nishtha Kesswani,Priyanka Mishra
Machine Learning and Big Data Analytics Book PDF

Author : Rajiv Misra,Rana Omer,Muttukrishnan Rajarajan,Bharadwaj Veeravalli,Nishtha Kesswani,Priyanka Mishra
Publisher : Springer Nature
Page : 552 pages
File Size : 50,6 Mb
Release : 2023-06-06
Category : Mathematics
ISBN : 9783031151750

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Machine Learning and Big Data Analytics by Rajiv Misra,Rana Omer,Muttukrishnan Rajarajan,Bharadwaj Veeravalli,Nishtha Kesswani,Priyanka Mishra Pdf

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2022) is intended to be used as a reference book for researchers and professionals to share their research and reports of new technologies and applications in Machine Learning and Big Data Analytics like biometric Recognition Systems, medical diagnosis, industries, telecommunications, AI Petri Nets Model-Based Diagnosis, gaming, stock trading, Intelligent Aerospace Systems, robot control, law, remote sensing and scientific discovery agents and multiagent systems; and natural language and Web intelligence. The intent of this book is to provide awareness of algorithms used for machine learning and big data in the advanced Scientific Technologies, provide a correlation of multidisciplinary areas and become a point of great interest for Data Scientists, systems architects, developers, new researchers and graduate level students. This volume provides cutting-edge research from around the globe on this field. Current status, trends, future directions, opportunities, etc. are discussed, making it friendly for beginners and young researchers.

Handbook of Research on Emerging Trends and Applications of Machine Learning

Arun Solanki,Sandeep Kumar,Anand Nayyar
Handbook of Research on Emerging Trends and Applications of Machine Learning Book PDF

Author : Arun Solanki,Sandeep Kumar,Anand Nayyar
Publisher : Unknown
Page : 710 pages
File Size : 46,7 Mb
Release : 2020
Category : Data mining
ISBN : 1523128887

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Handbook of Research on Emerging Trends and Applications of Machine Learning by Arun Solanki,Sandeep Kumar,Anand Nayyar Pdf

"This book examines the role of machine learning in various applications such as data mining, natural language processing, image recognition, and expert systems"--.

Conversational Dialogue Systems for the Next Decade

Luis Fernando D'Haro,Zoraida Callejas,Satoshi Nakamura
Conversational Dialogue Systems for the Next Decade Book PDF

Author : Luis Fernando D'Haro,Zoraida Callejas,Satoshi Nakamura
Publisher : Springer Nature
Page : 405 pages
File Size : 48,8 Mb
Release : 2020-10-24
Category : Technology & Engineering
ISBN : 9789811583957

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Conversational Dialogue Systems for the Next Decade by Luis Fernando D'Haro,Zoraida Callejas,Satoshi Nakamura Pdf

This book compiles and presents a synopsis on current global research efforts to push forward the state of the art in dialogue technologies, including advances to the classical problems of dialogue management, language generation, question answering, human–robot interaction, chatbots design and evaluation, as well as topics related to the human nature of the conversational phenomena such as humour, social context, specific applications for e-health, understanding, and awareness

The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

John MacIntyre,Jinghua Zhao,Xiaomeng Ma
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy Book PDF

Author : John MacIntyre,Jinghua Zhao,Xiaomeng Ma
Publisher : Springer Nature
Page : 887 pages
File Size : 49,6 Mb
Release : 2020-11-04
Category : Computers
ISBN : 9783030627461

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy by John MacIntyre,Jinghua Zhao,Xiaomeng Ma Pdf

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.

Artificial Intelligence and Large Language Models

Kutub Thakur,Helen G. Barker,Al-Sakib Khan Pathan
Artificial Intelligence and Large Language Models Book PDF

Author : Kutub Thakur,Helen G. Barker,Al-Sakib Khan Pathan
Publisher : CRC Press
Page : 294 pages
File Size : 54,5 Mb
Release : 2024-07-12
Category : Computers
ISBN : 9781040052174

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Artificial Intelligence and Large Language Models by Kutub Thakur,Helen G. Barker,Al-Sakib Khan Pathan Pdf

Having been catapulted into public discourse in the last few years, this book serves as an in-depth exploration of the ever-evolving domain of artificial intelligence (AI), large language models, and ChatGPT. It provides a meticulous and thorough analysis of AI, ChatGPT technology, and their prospective trajectories given the current trend, in addition to tracing the significant advancements that have materialized over time. Key Features: Discusses the fundamentals of AI for general readers Introduces readers to the ChatGPT chatbot and how it works Covers natural language processing (NLP), the foundational building block of ChatGPT Introduces readers to the deep learning transformer architecture Covers the fundamentals of ChatGPT training for practitioners Illustrated and organized in an accessible manner, this textbook contains particular appeal to students and course convenors at the undergraduate and graduate level, as well as a reference source for general readers.

The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

John Macintyre,Jinghua Zhao,Xiaomeng Ma
The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy Book PDF

Author : John Macintyre,Jinghua Zhao,Xiaomeng Ma
Publisher : Springer Nature
Page : 999 pages
File Size : 46,9 Mb
Release : 2021-11-02
Category : Computers
ISBN : 9783030895112

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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy by John Macintyre,Jinghua Zhao,Xiaomeng Ma Pdf

This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.

Data Science and Digital Business

Fausto Pedro García Márquez,Benjamin Lev
Data Science and Digital Business Book PDF

Author : Fausto Pedro García Márquez,Benjamin Lev
Publisher : Springer
Page : 316 pages
File Size : 52,5 Mb
Release : 2019-01-04
Category : Business & Economics
ISBN : 9783319956510

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Data Science and Digital Business by Fausto Pedro García Márquez,Benjamin Lev Pdf

This book combines the analytic principles of digital business and data science with business practice and big data. The interdisciplinary, contributed volume provides an interface between the main disciplines of engineering and technology and business administration. Written for managers, engineers and researchers who want to understand big data and develop new skills that are necessary in the digital business, it not only discusses the latest research, but also presents case studies demonstrating the successful application of data in the digital business.

Future and Emergent Trends in Language Technology

José F. Quesada,Francisco-Jesús Martín Mateos,Teresa Lopez-Soto
Future and Emergent Trends in Language Technology Book PDF

Author : José F. Quesada,Francisco-Jesús Martín Mateos,Teresa Lopez-Soto
Publisher : Springer
Page : 161 pages
File Size : 41,9 Mb
Release : 2016-04-25
Category : Computers
ISBN : 9783319335001

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Future and Emergent Trends in Language Technology by José F. Quesada,Francisco-Jesús Martín Mateos,Teresa Lopez-Soto Pdf

This book constitutes the thoroughly refereed post-conference proceedings of the First International Workshop on Future and Emergent Trends in Language Technology, FETLT 2015, held in Seville, Spain, in November 2015. The 10 full papers presented together with 3 position papers and 7 invited keynote abstracts were selected from numerous submissions. The structure of the Workshop will feature a significant number of experts in language technologies and convergent areas. One objective will be the organization of forum sessions in order to review some of the current-trend research projects that are already addressing new methodological approaches and proposing solutions and innovative applications. A second major objective will be brainstorming sessions where representatives of the most innovative industrial sector in this area can present and describe the challenges and socio-economic needs of the present and immediate future. All researchers are invited to submit proposals that incorporate solid research and innovation ideas in the field of language technology and in connection with other convergent areas.

Machine Learning Applications

Rik Das,Siddhartha Bhattacharyya,Sudarshan Nandy
Machine Learning Applications Book PDF

Author : Rik Das,Siddhartha Bhattacharyya,Sudarshan Nandy
Publisher : Walter de Gruyter GmbH & Co KG
Page : 153 pages
File Size : 54,7 Mb
Release : 2020-04-20
Category : Computers
ISBN : 9783110610987

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Machine Learning Applications by Rik Das,Siddhartha Bhattacharyya,Sudarshan Nandy Pdf

The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges to handle this huge source of information. Efficient designing of machine learning techniques is the need of the hour. Recent literature in machine learning has emphasized on single technique of information identification. Huge scope exists in developing hybrid machine learning models with reduced computational complexity for enhanced accuracy of information identification. This book will focus on techniques to reduce feature dimension for designing light weight techniques for real time identification and decision fusion. Key Findings of the book will be the use of machine learning in daily lives and the applications of it to improve livelihood. However, it will not be able to cover the entire domain in machine learning in its limited scope. This book is going to benefit the research scholars, entrepreneurs and interdisciplinary approaches to find new ways of applications in machine learning and thus will have novel research contributions. The lightweight techniques can be well used in real time which will add value to practice.

Analyzing Future Applications of AI, Sensors, and Robotics in Society

Musiolik, Thomas Heinrich,Cheok, Adrian David
Analyzing Future Applications of AI Sensors and Robotics in Society Book PDF

Author : Musiolik, Thomas Heinrich,Cheok, Adrian David
Publisher : IGI Global
Page : 335 pages
File Size : 41,9 Mb
Release : 2020-09-11
Category : Computers
ISBN : 9781799835011

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Analyzing Future Applications of AI, Sensors, and Robotics in Society by Musiolik, Thomas Heinrich,Cheok, Adrian David Pdf

The rise of artificial intelligence and its countless branches have caused many professional industries to rethink their traditional methods of practice and develop new techniques to keep pace with technological advancement. The continued use of intelligent technologies in the professional world has propelled researchers to contemplate future opportunities and challenges that artificial intelligence may withhold. Significant research is a necessity for understanding future trends of artificial intelligence and the preparation of prospective issues. Analyzing Future Applications of AI, Sensors, and Robotics in Society provides emerging research exploring the potential uses and future challenges of intelligent technological advancements and their impact in education, finance, politics, business, healthcare, and engineering. Featuring coverage on a broad range of topics such as neuronal networks, cognitive computing, and e-health, this book is ideally designed for practitioners, researchers, scientists, executives, strategists, policymakers, academicians, government officials, developers, and students seeking current research on future societal uses of intelligent technology.