Handbook Of Research On Machine Learning Innovations And Trends
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Handbook Of Research On Deep Learning Innovations And Trends
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Author : Aboul Ella Hassanien
language : en
Publisher: Engineering Science Reference
Release Date : 2019
Handbook Of Research On Deep Learning Innovations And Trends written by Aboul Ella Hassanien and has been published by Engineering Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Artificial intelligence categories.
"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"--
Handbook Of Research On Machine Learning Innovations And Trends Vol 2
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Author : Tarek Gaber
language : en
Publisher:
Release Date : 2017-03-27
Handbook Of Research On Machine Learning Innovations And Trends Vol 2 written by Tarek Gaber and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-27 with categories.
Handbook Of Research On Machine Learning Innovations And Trends
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Author : Hassanien, Aboul Ella
language : en
Publisher: IGI Global
Release Date : 2017-04-03
Handbook Of Research On Machine Learning Innovations And Trends written by Hassanien, Aboul Ella and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-03 with Computers categories.
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.
Handbook Of Research On Machine Learning Applications And Trends Algorithms Methods And Techniques
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Author : Olivas, Emilio Soria
language : en
Publisher: IGI Global
Release Date : 2009-08-31
Handbook Of Research On Machine Learning Applications And Trends Algorithms Methods And Techniques written by Olivas, Emilio Soria and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-08-31 with Computers categories.
"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.
Handbook Of Research On Emerging Trends And Applications Of Machine Learning
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Author : Solanki, Arun
language : en
Publisher: IGI Global
Release Date : 2019-12-13
Handbook Of Research On Emerging Trends And Applications Of Machine Learning written by Solanki, Arun and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-13 with Computers categories.
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.
Handbook Of Research On Machine Learning Applications And Trends
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Author :
language : en
Publisher:
Release Date : 2010
Handbook Of Research On Machine Learning Applications And Trends written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Machine learning categories.
Optimized Genetic Programming Applications Emerging Research And Opportunities
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Author : Hrnjica, Bahrudin
language : en
Publisher: IGI Global
Release Date : 2018-07-06
Optimized Genetic Programming Applications Emerging Research And Opportunities written by Hrnjica, Bahrudin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-06 with Medical categories.
Data is more valuable than ever in the twenty-first century, and tremendous amounts of data are being generated every second. With a fast-growing information industry, engineers are required to develop new tools and techniques that increase human capabilities of mining useful knowledge from the vast amounts of data. Optimized Genetic Programming Applications: Emerging Research and Opportunities is an essential reference source that explores the concept of genetic programming and its role in managing engineering problems. It also examines genetic programming as a supervised machine learning technique, focusing on implementation and application. As a resource that details both the theoretical aspects and implementation of genetic programming, this book is a useful source for academicians, biological engineers, computer programmers, scientists, researchers, and upper-level students seeking the latest research on genetic programming.
Deep Learning Innovations And Their Convergence With Big Data
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Author : Karthik, S.
language : en
Publisher: IGI Global
Release Date : 2017-07-13
Deep Learning Innovations And Their Convergence With Big Data written by Karthik, S. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-13 with Computers categories.
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.
Handbook Of Research On Innovations In Database Technologies And Applications
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Author : Viviana E. Ferraggine
language : en
Publisher: IGI Global
Release Date : 2009-01-01
Handbook Of Research On Innovations In Database Technologies And Applications written by Viviana E. Ferraggine and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-01-01 with Computers categories.
"This book provides a wide compendium of references to topics in the field of the databases systems and applications"--Provided by publisher.
Machine Learning Paradigms Theory And Application
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Author : Aboul Ella Hassanien
language : en
Publisher: Springer
Release Date : 2018-12-08
Machine Learning Paradigms Theory And Application written by Aboul Ella Hassanien and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-08 with Technology & Engineering categories.
The book focuses on machine learning. Divided into three parts, the first part discusses the feature selection problem. The second part then describes the application of machine learning in the classification problem, while the third part presents an overview of real-world applications of swarm-based optimization algorithms. The concept of machine learning (ML) is not new in the field of computing. However, due to the ever-changing nature of requirements in today’s world it has emerged in the form of completely new avatars. Now everyone is talking about ML-based solution strategies for a given problem set. The book includes research articles and expository papers on the theory and algorithms of machine learning and bio-inspiring optimization, as well as papers on numerical experiments and real-world applications.