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Multi Faceted Deep Learning


Multi Faceted Deep Learning
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Multi Faceted Deep Learning


Multi Faceted Deep Learning
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Author : Jenny Benois-Pineau
language : en
Publisher: Springer Nature
Release Date : 2021-10-20

Multi Faceted Deep Learning written by Jenny Benois-Pineau and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-20 with Computers categories.


This book covers a large set of methods in the field of Artificial Intelligence - Deep Learning applied to real-world problems. The fundamentals of the Deep Learning approach and different types of Deep Neural Networks (DNNs) are first summarized in this book, which offers a comprehensive preamble for further problem–oriented chapters. The most interesting and open problems of machine learning in the framework of Deep Learning are discussed in this book and solutions are proposed. This book illustrates how to implement the zero-shot learning with Deep Neural Network Classifiers, which require a large amount of training data. The lack of annotated training data naturally pushes the researchers to implement low supervision algorithms. Metric learning is a long-term research but in the framework of Deep Learning approaches, it gets freshness and originality. Fine-grained classification with a low inter-class variability is a difficult problem for any classification tasks. This book presents how it is solved, by using different modalities and attention mechanisms in 3D convolutional networks. Researchers focused on Machine Learning, Deep learning, Multimedia and Computer Vision will want to buy this book. Advanced level students studying computer science within these topic areas will also find this book useful.



Multifaceted Approaches For Data Acquisition Processing Communication


Multifaceted Approaches For Data Acquisition Processing Communication
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Author : Chinmay Chakraborty
language : en
Publisher: CRC Press
Release Date : 2024-06-24

Multifaceted Approaches For Data Acquisition Processing Communication written by Chinmay Chakraborty and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-24 with Computers categories.


The objective of the conference is to bring to focus the recent technological advancements across all the stages of data analysis including acquisition, processing, and communication. Advancements in acquisition sensors along with improved storage and computational capabilities, have stimulated the progress in theoretical studies and state-of-the-art real-time applications involving large volumes of data. This compels researchers to investigate the new challenges encountered, where traditional approaches are incapable of dealing with large, complicated new forms of data.



Proceedings Of The 5th International Conference On Data Science Machine Learning And Applications Volume 1


Proceedings Of The 5th International Conference On Data Science Machine Learning And Applications Volume 1
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Author : Amit Kumar
language : en
Publisher: Springer Nature
Release Date : 2024-10-05

Proceedings Of The 5th International Conference On Data Science Machine Learning And Applications Volume 1 written by Amit Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-05 with Computers categories.


This book (Volume 1) includes peer reviewed articles from the 5th International Conference on Data Science, Machine Learning and Applications, 2023, held at the G Narayanamma Institute of Technology and Sciences, Hyderabad on 15-16th December, India. ICDSMLA is one of the most prestigious conferences conceptualized in the field of Data Science & Machine Learning offering in-depth information on the latest developments in Artificial Intelligence, Machine Learning, Soft Computing, Human Computer Interaction, and various data science & machine learning applications. It provides a platform for academicians, scientists, researchers and professionals around the world to showcase broad range of perspectives, practices, and technical expertise in these fields. It offers participants the opportunity to stay informed about the latest developments in data science and machine learning.



The Multiple Facets Of Partial Least Squares And Related Methods


The Multiple Facets Of Partial Least Squares And Related Methods
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Author : Hervé Abdi
language : en
Publisher: Springer
Release Date : 2016-10-13

The Multiple Facets Of Partial Least Squares And Related Methods written by Hervé Abdi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-13 with Mathematics categories.


This volume presents state of the art theories, new developments, and important applications of Partial Least Square (PLS) methods. The text begins with the invited communications of current leaders in the field who cover the history of PLS, an overview of methodological issues, and recent advances in regression and multi-block approaches. The rest of the volume comprises selected, reviewed contributions from the 8th International Conference on Partial Least Squares and Related Methods held in Paris, France, on 26-28 May, 2014. They are organized in four coherent sections: 1) new developments in genomics and brain imaging, 2) new and alternative methods for multi-table and path analysis, 3) advances in partial least square regression (PLSR), and 4) partial least square path modeling (PLS-PM) breakthroughs and applications. PLS methods are very versatile methods that are now used in areas as diverse as engineering, life science, sociology, psychology, brain imaging, genomics, and business among both academics and practitioners. The selected chapters here highlight this diversity with applied examples as well as the most recent advances.



Proceedings Of International Joint Conference On Computational Intelligence


Proceedings Of International Joint Conference On Computational Intelligence
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Author : Mohammad Shorif Uddin
language : en
Publisher: Springer Nature
Release Date : 2020-05-22

Proceedings Of International Joint Conference On Computational Intelligence written by Mohammad Shorif Uddin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-22 with Technology & Engineering categories.


This book gathers outstanding research papers presented at the International Joint Conference on Computational Intelligence (IJCCI 2019), held at the University of Liberal Arts Bangladesh (ULAB), Dhaka, on 25–26 October 2019 and jointly organized by the University of Liberal Arts Bangladesh (ULAB), Bangladesh; Jahangirnagar University (JU), Bangladesh; and South Asian University (SAU), India. These proceedings present novel contributions in the areas of computational intelligence, and offer valuable reference material for advanced research. The topics covered include collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal and natural language processing.



Technical Courses And Learning By Daniel Goulart


Technical Courses And Learning By Daniel Goulart
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Author : Daniel Goulart
language : en
Publisher: Ablic
Release Date : 2025-06-29

Technical Courses And Learning By Daniel Goulart written by Daniel Goulart and has been published by Ablic this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-29 with Education categories.


Choosing a career path in today's technology-driven world can feel like navigating a vast and complex landscape. The sheer breadth of options, from software engineering to digital design, from artificial intelligence to fashion technology, can be both exciting and overwhelming. This book serves as your compass, guiding you through the diverse fields of technology education and helping you identify the learning path best suited to your individual aspirations, skills, and learning style. Within these pages, you will discover a structured approach to understanding the curriculum and career prospects within various technological domains. We move beyond simply listing courses and instead provide a contextual framework for understanding the interconnectedness of different technological fields. For example, understanding the basics of programming is beneficial not only for software development but also for fields such as AI development, data analysis, and even aspects of digital design. Similarly, a foundation in design principles can be invaluable not only for graphic designers but also for UX/UI developers and even those working in the fashion technology industry. The aim is to highlight the transferability of skills and the importance of interdisciplinary thinking in the modern technology landscape. We strive to demystify the learning process by offering clear, concise explanations and practical examples. We'll explore the diverse learning pathways available – from online courses and bootcamps to traditional university programs and self-directed learning. The goal is to empower you to make informed decisions about your educational journey, selecting the learning methods and resources that best suit your needs and learning style. This book is more than a collection of facts; it's an invitation to explore the boundless possibilities within the technology sector. It's a resource that encourages active learning, critical thinking, and the development of crucial transferable skills necessary for success in the ever-evolving technological world. So, let's begin this exploration, together, and discover the exciting opportunities that await you.



Artificial Intelligence And Machine Learning In Medical Science


Artificial Intelligence And Machine Learning In Medical Science
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Author : Ajay Prakash Pasupulla
language : en
Publisher: Sonzal publishers
Release Date :

Artificial Intelligence And Machine Learning In Medical Science written by Ajay Prakash Pasupulla and has been published by Sonzal publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.




From Machine Learning To Artificial Intelligence


From Machine Learning To Artificial Intelligence
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Author : Abdalmuttaleb M. A. Musleh Al-Sartawi
language : en
Publisher: Springer Nature
Release Date : 2025-02-01

From Machine Learning To Artificial Intelligence written by Abdalmuttaleb M. A. Musleh Al-Sartawi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-01 with Technology & Engineering categories.


The world is on a cusp of something great. Technology has advanced from solving simple issues to complex issues in both human life and other aspects such as social, economic, and environmental issues. The significance of machine intelligence as a tool to propel human as well as economic development is an important and hot topic today. This book is about how modern machine intelligence, AI, and machine learning applications can be used by governments and firms for financial and economic inclusion, as well as for providing solutions to bridge the digital divide. It aims to cover philosophical discussions, frameworks, and applications on central topics in machine intelligence, deep learning, mesh networks, frugal engineering, frugal innovation, blockchain technology, alternate networks, and intelligent digital financial inclusion system architectures. This book also aims to discuss the initiatives, policies, strategies, and governance issues related to furnishing technologies for technology access, financial inclusion and in turn economic growth. Financial inclusion is defined as the proportion of people and corporations that use financial services. It further describes the fair, equal, and attainable access to financial services (Rawat et al., 2023). Financial inclusion is key to economic inclusion and economic growth as it enables the poor to improve their lives. Chapters in the book will improve our understanding of the advances and challenges of applying machine intelligence for financial inclusion and economic growth in different contexts including financial markets, governments, and corporations in both developing and developed countries. Access to financial services is essential to development efforts of markets, economies and eventually societies. Hence, in this context, financial inclusion can be explained as the process of ensuring that individuals particular impoverished people have access to essential financial services in the formal financial sector. Financial inclusion, recently, has been receiving traction from scholars and policymakers whereby it is one of the major strategies used by economies and societies in achieving UN’s sustainable development goals. Rawat et al. (2023) argues that it is vital to increase the use of “low-cost digital methods” for the economically marginalized and under-served people and sectors. There is a need for financial inclusion for the rapidly dynamic Industry 4.0. Therefore, linking technology, more particularly machine intelligence with financial inclusion and technology access is quite crucial given the current technological environment. Additionally, financial inclusion helps in enhancing the level of economic and social inclusion in many societies and developing countries as well as help in reducing poverty levels. Policy makers in several countries continue to commit significant resources and technologies to increase the level of financial inclusion in their countries to reduce financial exclusion. In developing countries, financial inclusion remains below potential in part due to the digital divide, limited technology access and the challenge for financial institutions in developing products for the low-income mass market (Hook IV, 2019; Marimuthu et al., 2022). These matters are important topics to be researched and discussed, especially with the advancement of technology such as artificial intelligence, machine learning, blockchain, business intelligence, online education, in the current post-pandemic environment which catalysed these digital transformations. Therefore, this book has been proposed to discuss a very important and emerging topics which contributes significantly to policy and the SDGs in the digital economy.



Proceedings Of The 13th International Conference On Computer Engineering And Networks


Proceedings Of The 13th International Conference On Computer Engineering And Networks
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Author : Yonghong Zhang
language : en
Publisher: Springer Nature
Release Date : 2024-01-03

Proceedings Of The 13th International Conference On Computer Engineering And Networks written by Yonghong Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-03 with Technology & Engineering categories.


This book aims to examine innovation in the fields of computer engineering and networking. The text covers important developments in areas such as artificial intelligence, machine learning, information analysis, communication system, computer modeling, internet of things. This book presents papers from the 13th International Conference on Computer Engineering and Networks (CENet2023) held in Wuxi, China on November 3-5, 2023.



Ai Driven Healthcare Transformation Machine Learning Deep Learning And Neural Networks In Insurance And Wellness Programs


Ai Driven Healthcare Transformation Machine Learning Deep Learning And Neural Networks In Insurance And Wellness Programs
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Author : Ramanakar Reddy Danda
language : en
Publisher: JEC PUBLICATION
Release Date :

Ai Driven Healthcare Transformation Machine Learning Deep Learning And Neural Networks In Insurance And Wellness Programs written by Ramanakar Reddy Danda and has been published by JEC PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


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