Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques PDF Download

Author: Olivas, Emilio Soria
Publisher: IGI Global
ISBN: 1605667676
Category : Computers
Languages : en
Pages : 852

View

Book Description
"This book investiges machine learning (ML), one of the most fruitful fields of current research, both in the proposal of new techniques and theoretic algorithms and in their application to real-life problems"--Provided by publisher.

Author: Aboul Ella Hassanien
Publisher: Engineering Science Reference
ISBN: 9781522578628
Category : Artificial intelligence
Languages : en
Pages : 0

View

Book Description
"This book explores the application of deep learning in various areas like computer vision, image processing, biometrics, pattern recognition and medical imaging, and other real-world applications"--

Author: Hassanien, Aboul Ella
Publisher: IGI Global
ISBN: 1522522301
Category : Computers
Languages : en
Pages : 1093

View

Book Description
Continuous improvements in technological applications have allowed more opportunities to develop automated systems. This not only leads to higher success in smart data analysis, but it increases the overall probability of technological progression. The Handbook of Research on Machine Learning Innovations and Trends is a key resource on the latest advances and research regarding the vast range of advanced systems and applications involved in machine intelligence. Highlighting multidisciplinary studies on decision theory, intelligent search, and multi-agent systems, this publication is an ideal reference source for professionals and researchers working in the field of machine learning and its applications.

Author: Solanki, Arun
Publisher: IGI Global
ISBN: 1522596453
Category : Computers
Languages : en
Pages : 674

View

Book Description
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.

Author: Viviana E. Ferraggine
Publisher: IGI Global
ISBN: 1605662437
Category : Computers
Languages : en
Pages : 986

View

Book Description
"This book provides a wide compendium of references to topics in the field of the databases systems and applications"--Provided by publisher.

Author: Sathiyamoorthi Velayutham
Publisher: IGI Global, Engineering Science Reference
ISBN: 9781522599050
Category : Computers
Languages : en
Pages : 0

View

Book Description
"This book examines the practical applications and implementation of various machine learning techniques in various fields such as agriculture, medical, image processing, and networking"--

Author: Arun Solanki
Publisher:
ISBN: 9781523128884
Category : Data mining
Languages : en
Pages : 710

View

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

Author: Gaur, Loveleen
Publisher: IGI Global
ISBN: 1799827739
Category : Technology & Engineering
Languages : en
Pages : 459

View

Book Description
As technology weaves itself more tightly into everyday life, socio-economic development has become intricately tied to these ever-evolving innovations. Technology management is now an integral element of sound business practices, and this revolution has opened up many opportunities for global communication. However, such swift change warrants greater research that can foresee and possibly prevent future complications within and between organizations. The Handbook of Research on Engineering Innovations and Technology Management in Organizations is a collection of innovative research that explores global concerns in the applications of technology to business and the explosive growth that resulted. Highlighting a wide range of topics such as cyber security, legal practice, and artificial intelligence, this book is ideally designed for engineers, manufacturers, technology managers, technology developers, IT specialists, productivity consultants, executives, lawyers, programmers, managers, policymakers, academicians, researchers, and students.

Author: Karthik, S.
Publisher: IGI Global
ISBN: 1522530169
Category : Computers
Languages : en
Pages : 265

View

Book Description
The expansion of digital data has transformed various sectors of business such as healthcare, industrial manufacturing, and transportation. A new way of solving business problems has emerged through the use of machine learning techniques in conjunction with big data analytics. Deep Learning Innovations and Their Convergence With Big Data is a pivotal reference for the latest scholarly research on upcoming trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. Featuring extensive coverage on a broad range of topics and perspectives such as deep neural network, domain adaptation modeling, and threat detection, this book is ideally designed for researchers, professionals, and students seeking current research on the latest trends in the field of deep learning techniques in big data analytics.

Author: Huang, Yi
Publisher: IGI Global
ISBN: 1799838218
Category : Education
Languages : en
Pages : 492

View

Book Description
With increasingly interconnected educational and employment ecosystems, credential innovations are trailblazing multiple pathways to professions at a pivotal moment of rapid change. In the current state of credential proliferation, the quest for simultaneous improvement of quality and value reflects heightened cross-sector interests, while at the same time the quest for concurrent enhancement of access and success remains. With the evolving educational models, technologies, and organizations, credential innovations will continue to serve as powerful catalysts in realizing the great promise for inclusive pathways to professions. The Handbook of Research on Credential Innovations for Inclusive Pathways to Professions surveys the state of credential innovations, examines trends and issues, and explores models and strategies with case studies across sectors and disciplines. The 21 chapters are organized in three sections. Section I, Credential Innovations Amid Evolving Ecosystems, features a powerful array of change theories-in-action with topics ranging from conceptual re-visioning to organizational restructuring and programmatic reengineering within evolving ecosystems. Section II, Credential Innovations and Propositions Across Sectors, spotlights diverse approaches to and propositions of credentials within complex socio-economic landscapes across education, business, and technology industries. Section III, Credential Innovation Models and Strategies, showcases institutional innovations ranging from model developments, pedagogical approaches, and personalized engagements to outcome measurements and strategies for sustainable implementation. Lessons learned and implications are explored to share promising practices, inform current development, and influence future policies toward inclusive excellence in education and the workplace.