Human Behavior And Another Kind In Consciousness Emerging Research And Opportunities

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Human Behavior And Another Kind In Consciousness Emerging Research And Opportunities
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Author : Sugiyama, Shigeki
language : en
Publisher: IGI Global
Release Date : 2019-04-12
Human Behavior And Another Kind In Consciousness Emerging Research And Opportunities written by Sugiyama, Shigeki and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-12 with Computers categories.
New technological communication methods have created new kinds of interactions among us that have allowed people across the globe to become closer, but they have also created more complex global dynamics. These dynamics have expanded the workings of human behavior, making human-seeming artificial intelligence a more difficult goal to achieve. Human Behavior and Another Kind in Consciousness: Emerging Research and Opportunities is a crucial reference book that examines human consciousness and how it can translate into artificial intelligence. Covering important topics such as cloud computing, human behavior, and intelligent systems, this book is ideal for engineers, researchers, academicians, and students in the fields of computer science, artificial intelligence, operations research, and intelligent systems.
Foundations Of Machine Learning And Deep Learning
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Author : Dr. Sumalatha Lingamgunta
language : en
Publisher: Academic Guru Publishing House
Release Date : 2025-01-06
Foundations Of Machine Learning And Deep Learning written by Dr. Sumalatha Lingamgunta and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-06 with Study Aids categories.
Foundations of Machine Learning and Deep Learning is a comprehensive guide designed to provide readers with an in-depth understanding of the principles and applications of ML and DL. It covers a broad spectrum of topics, from the basics of machine learning to advanced architectures and emerging trends, making it suitable for a diverse audience. The book is structured into eight chapters, each focusing on critical aspects of the field. Starting with an introduction to machine learning, it delves into fundamental concepts like data representation, supervised and unsupervised learning, and neural network fundamentals. The later chapters explore deep learning architectures such as CNNs, RNNs, and transformers, along with advanced topics like GANs, autoencoders, and reinforcement learning. Practicality is a cornerstone of this book. It introduces popular tools and frameworks like TensorFlow and PyTorch, providing insights into setting up environments, leveraging pretrained models, and optimizing performance. Real-world applications are interwoven throughout, showcasing how ML and DL are driving innovation across industries such as healthcare, finance, and autonomous systems.
Deep Learning And Its Applications
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Author : N. Deshai
language : en
Publisher: Cipher Publisher
Release Date : 2024-09-26
Deep Learning And Its Applications written by N. Deshai and has been published by Cipher Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-26 with Study Aids categories.
"Deep Learning and Its Applications" covers one of the most active AI disciplines. This book explains deep learning technologies' basics and advanced methods. The basics of neural networks, training models, and deep learning research are covered. This book caters both beginners and experts by focussing on theory and practice. The book starts with a basic introduction to deep learning, covering neural networks and their methods. Chapters on optimisation methodologies, model assessment, and emerging trends are more sophisticated. Each chapter provides practical examples and real-world applications of deep learning to handle healthcare, financial, and autonomous system problems. The book also provides thorough case studies and examples of deep learning in different sectors to emphasise its practicality. The impact of deep learning on image and audio recognition, predictive analytics, and natural lan-guage processing will be shown. These case studies show deep learning technologies' promise and limits, providing a balanced view of their effect and future possibilities. For instructional and accessible learning, "Deep Learning and Its Applications" provides visual illustrations, hands-on activities, and key takeaways. This book gives students, researchers, and industry professionals the knowledge and abilities to use deep learning in their projects and learn more about this quickly expanding topic.
Artificial Intelligence And Deep Learning
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Author : Dr. Shashank Bhardwaj
language : en
Publisher: Addition Publishing House
Release Date : 2025-04-08
Artificial Intelligence And Deep Learning written by Dr. Shashank Bhardwaj and has been published by Addition Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Antiques & Collectibles categories.
Artificial Intelligence and Deep Learning offers a comprehensive guide to understanding and applying the core principles of intelligent systems. It explores the evolution of AI, the fundamentals of machine learning, and the powerful techniques of deep learning that enable machines to learn from vast amounts of data. Structured for both beginners and advanced learners, the book covers key AI concepts, including search algorithms, logic and reasoning, expert systems, and intelligent agents. It then transitions to machine learning foundations such as supervised, unsupervised, and reinforcement learning. The deep learning section provides in-depth coverage of neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), and advanced architectures like transformers. Each chapter blends theoretical understanding with practical examples, programming exercises (primarily in Python), and real-world case studies in areas like healthcare, finance, autonomous systems, and natural language processing. Designed for students, educators, and professionals across computer science, engineering, data science, and related fields, this book serves as both a learning resource and a reference. With its clear structure and up-to-date content, Artificial Intelligence and Deep Learning equips readers with the tools and knowledge to navigate and contribute to the rapidly advancing AI landscape.
Human Capital Formation For The Fourth Industrial Revolution
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Author : Atiku, Sulaiman Olusegun
language : en
Publisher: IGI Global
Release Date : 2019-10-18
Human Capital Formation For The Fourth Industrial Revolution written by Atiku, Sulaiman Olusegun and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-18 with Business & Economics categories.
Advances in technological innovations, automation, and the latest developments in artificial intelligence (AI) have revolutionized the nature of work and created a demand for a new set of skills to navigate the Fourth Industrial Revolution (Industry 4.0). Therefore, it is necessary to equip displaced workers with a new set of skills that are essential for conversion into technical or other functional areas of business. Human Capital Formation for the Fourth Industrial Revolution is an essential research publication that recognizes the need to revitalize human capital formation for graduate employability in Industry 4.0 and discusses new skills and competencies needed to cope with the challenges present within this industrial revolution. The book seeks to provide a basis for curriculum design in line with the advances in technological innovations, automation, and artificial intelligence to enhance current and future employment. Featuring an array of topics such as curriculum design, emotional intelligence, and healthcare, this book is ideal for human resource managers, development specialists, training officers, teachers, universities, practitioners, academicians, researchers, managers, policymakers, and students.
Deep Learning Fundamentals Theory And Applications
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Author : Dr. R. Kanagaraj
language : en
Publisher: AG PUBLISHING HOUSE (AGPH Books)
Release Date :
Deep Learning Fundamentals Theory And Applications written by Dr. R. Kanagaraj and has been published by AG PUBLISHING HOUSE (AGPH Books) this book supported file pdf, txt, epub, kindle and other format this book has been release on with Study Aids categories.
More complex computing approaches have grown in popularity as technology has improved and big data has emerged. Increasing customer demand for better goods, as well as firms trying to better exploit their resources, have been driving this trend. Machine learning is a field that combines statistics, mathematics, and computer science to create and analyze algorithms that improve their own behavior in an iterative fashion by design. Initially, the discipline was committed to the development of artificial intelligence, but owing to the constraints of theory and technology at the time, it became more reasonable to concentrate these algorithms on particular tasks. Deep learning is a sort of machine learning and artificial intelligence (AI) that mimics how people acquire certain types of knowledge. Deep learning is a critical component of data science, which also covers statistics and predictive modeling. Deep learning is particularly advantageous to data scientists who are responsible with gathering, analyzing, and interpreting massive volumes of data; deep learning speeds up and simplifies this process. In this book the concept of deep learning under the machine learning is explained in every aspect. Whether, it's their fundamental concepts or the application of deep learning on daily basis.
Fundamentals Of Ai And Deep Learning
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Author : Dr. S. Rajakumaran
language : en
Publisher: Academic Guru Publishing House
Release Date : 2023-11-09
Fundamentals Of Ai And Deep Learning written by Dr. S. Rajakumaran and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-09 with Study Aids categories.
The brain has an inherent advantage over traditional computers in that it possesses the ability to acquire knowledge and skills via the process of learning. Nevertheless, the edge is being swiftly eradicated by a new cohort of artificial intelligence programs known as deep neural networks. The primary objective of this book is to assist readers in comprehending fundamental principles before progressing towards refining their programming abilities, ultimately enabling them to become proficient practitioners in the field of deep learning. The book covers fundamental principles in deep learning, exploring various deep learning designs such as recurrent neural networks. Additionally, it delves into contemporary advancements such as generative adversarial networks. The book serves as a comprehensive manual for the implementation of deep neural networks, including several architectures such as Multilayer Perceptron’s (MLPs), Convolutional Neural Networks (CNNs), Long Short-Term Memory networks (LSTMs), and others, inside the frameworks of Kera’s and TensorFlow. This book aims to serve as a concise resource for training and optimising deep neural networks. The book encompasses the foundational principles of neural networks, as well as the training methods used in deep neural networks. The book is highly recommended for students seeking a comprehensive reference manual on deep learning, as well as industry practitioners from many disciplines who want to embark on their data science endeavours.
Fundamentals Of Deep Learning Theory And Applications
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Author : Dr. Pokkuluri Kiran Sree
language : en
Publisher: Academic Guru Publishing House
Release Date : 2023-03-29
Fundamentals Of Deep Learning Theory And Applications written by Dr. Pokkuluri Kiran Sree and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-29 with Study Aids categories.
Deep learning, often known as DL, is an approach to machine learning that is increasingly seen as the way of the future. Because of its impressive power of learning high-level abstract characteristics from enormous amounts of data, DL garners a lot of interest and also has a lot of success in pattern recognition, computer vision, data mining, and knowledge discovery. This is why DL is so successful in these areas. This book will not only seek to give a basic roadmap or direction to the existing deep learning approaches, but it will also highlight the problems and imagine fresh views that can lead to additional advancements in this subject. One of the most talked about topics in data science today is deep learning. Deep learning is a subfield of machine learning that makes use of sophisticated algorithms that take their cues from the way our own neural networks are wired and operate. The goal of this book is to provide a thorough introduction to deep learning, including an examination of its underlying algorithms, a presentation of its most recent theoretical advancements, a discussion of the most popular deep learning platforms and data sets, and an account of the significant advances made by a wide range of deep learning methodologies in areas such as text, video, image, speech, and audio processing.
Considerations On Cyber Behavior And Mass Technology In Modern Society
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Author : Beneventi, Paolo
language : en
Publisher: IGI Global
Release Date : 2024-01-30
Considerations On Cyber Behavior And Mass Technology In Modern Society written by Beneventi, Paolo and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-30 with Computers categories.
In our fast-paced, technology-driven world, there is a strong sense of untapped potential and unfulfilled promises. People today possess an unprecedented amount of power through their technological gadgets but often remain unaware of how to wield it effectively. This lack of understanding and agency leads to a plethora of societal problems, from passive consumerism to environmental degradation, fostering a sense of helplessness. Considerations of Cyber Behavior and Mass Technology in Modern Society offer a comprehensive solution to this pressing issue. It is a scholarly beacon, guiding academic scholars and critical thinkers toward a profound reassessment of our relationship with technology and society. By delving into the intricate web of topics such as active citizenship, global information production, and the coexistence of consumer technology and freedom, our book presents an opportunity to explore the root causes of our modern-day challenges.
Handbook Of Research On Politics In The Computer Age
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Author : Solo, Ashu M. G.
language : en
Publisher: IGI Global
Release Date : 2019-08-30
Handbook Of Research On Politics In The Computer Age written by Solo, Ashu M. G. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-30 with Political Science categories.
Technology and particularly the Internet have caused many changes in the realm of politics. Aspects of engineering, computer science, mathematics, or natural science can be applied to politics. Politicians and candidates use their own websites and social network profiles to get their message out. Revolutions in many countries in the Middle East and North Africa have started in large part due to social networking websites such as Facebook and Twitter. Social networking has also played a role in protests and riots in numerous countries. The mainstream media no longer has a monopoly on political commentary as anybody can set up a blog or post a video online. Now, political activists can network together online. The Handbook of Research on Politics in the Computer Age is a pivotal reference source that serves to increase the understanding of methods for politics in the computer age, the effectiveness of these methods, and tools for analyzing these methods. The book includes research chapters on different aspects of politics with information technology, engineering, computer science, or math, from 27 researchers at 20 universities and research organizations in Belgium, Brazil, Cape Verde, Egypt, Finland, France, Hungary, Italy, Mexico, Nigeria, Norway, Portugal, and the United States of America. Highlighting topics such as online campaigning and fake news, the prospective audience includes, but is not limited to, researchers, political and public policy analysts, political scientists, engineers, computer scientists, political campaign managers and staff, politicians and their staff, political operatives, professors, students, and individuals working in the fields of politics, e-politics, e-government, new media and communication studies, and Internet marketing.