Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications
Title | Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications PDF eBook |
Author | Management Association, Information Resources |
Publisher | IGI Global |
Pages | 1671 |
Release | 2019-10-11 |
Genre | Computers |
ISBN | 1799804151 |
Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries. It is necessary to develop new techniques for managing data in order to ensure adequate usage. Deep learning, a subset of artificial intelligence and machine learning, has been recognized in various real-world applications such as computer vision, image processing, and pattern recognition. The deep learning approach has opened new opportunities that can make such real-life applications and tasks easier and more efficient. Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications is a vital reference source that trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. It also explores the latest concepts, algorithms, and techniques of deep learning and data mining and analysis. Highlighting a range of topics such as natural language processing, predictive analytics, and deep neural networks, this multi-volume book is ideally designed for computer engineers, software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the latest trends in the field of deep learning.
Deep Learning and Neural Networks
Title | Deep Learning and Neural Networks PDF eBook |
Author | Information Resources Management Association |
Publisher | |
Pages | 1707 |
Release | 2020 |
Genre | Data mining |
ISBN | 9781523129072 |
Deep Learning and Neural Networks
Title | Deep Learning and Neural Networks PDF eBook |
Author | Information Reso Management Association |
Publisher | |
Pages | 604 |
Release | 2019-07-26 |
Genre | |
ISBN | 9781668432051 |
Deep Learning and Neural Networks
Title | Deep Learning and Neural Networks PDF eBook |
Author | Information Reso Management Association |
Publisher | |
Pages | 596 |
Release | 2019-07-26 |
Genre | |
ISBN | 9781668432037 |
Deep Learning and Neural Networks
Title | Deep Learning and Neural Networks PDF eBook |
Author | Information Reso Management Association |
Publisher | |
Pages | 600 |
Release | 2019-07-26 |
Genre | |
ISBN | 9781668432044 |
Machine Learning: Concepts, Methodologies, Tools and Applications
Title | Machine Learning: Concepts, Methodologies, Tools and Applications PDF eBook |
Author | Management Association, Information Resources |
Publisher | IGI Global |
Pages | 2174 |
Release | 2011-07-31 |
Genre | Computers |
ISBN | 1609608194 |
"This reference offers a wide-ranging selection of key research in a complex field of study,discussing topics ranging from using machine learning to improve the effectiveness of agents and multi-agent systems to developing machine learning software for high frequency trading in financial markets"--Provided by publishe
Artificial Intelligence: Concepts, Methodologies, Tools, and Applications
Title | Artificial Intelligence: Concepts, Methodologies, Tools, and Applications PDF eBook |
Author | Management Association, Information Resources |
Publisher | IGI Global |
Pages | 3095 |
Release | 2016-12-12 |
Genre | Computers |
ISBN | 152251760X |
Ongoing advancements in modern technology have led to significant developments in artificial intelligence. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Artificial Intelligence: Concepts, Methodologies, Tools, and Applications provides a comprehensive overview of the latest breakthroughs and recent progress in artificial intelligence. Highlighting relevant technologies, uses, and techniques across various industries and settings, this publication is a pivotal reference source for researchers, professionals, academics, upper-level students, and practitioners interested in emerging perspectives in the field of artificial intelligence.