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Deep Learning Foundations And Advancements


Deep Learning Foundations And Advancements
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Deep Learning Foundations And Advancements


Deep Learning Foundations And Advancements
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Author : Dr. Gali Nageswara Rao
language : en
Publisher: RK Publication
Release Date : 2024-10-01

Deep Learning Foundations And Advancements written by Dr. Gali Nageswara Rao and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-01 with Computers categories.


Deep Learning: Foundations and Advancements a comprehensive exploration of the core principles and cutting-edge developments in deep learning. This foundational topics such as neural networks, optimization techniques, and learning algorithms, while also delving into advanced applications and research, including reinforcement learning, generative models, and deep neural architectures. With a focus on both theory and practical implementation, it offers readers a solid understanding of how deep learning is transforming industries like computer vision, natural language processing, and autonomous systems.



Deep Learning


Deep Learning
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Author : Christopher M. Bishop
language : en
Publisher: Springer Nature
Release Date : 2023-11-01

Deep Learning written by Christopher M. Bishop and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-01 with Computers categories.


This book offers a comprehensive introduction to the central ideas that underpin deep learning. It is intended both for newcomers to machine learning and for those already experienced in the field. Covering key concepts relating to contemporary architectures and techniques, this essential book equips readers with a robust foundation for potential future specialization. The field of deep learning is undergoing rapid evolution, and therefore this book focusses on ideas that are likely to endure the test of time. The book is organized into numerous bite-sized chapters, each exploring a distinct topic, and the narrative follows a linear progression, with each chapter building upon content from its predecessors. This structure is well-suited to teaching a two-semester undergraduate or postgraduate machine learning course, while remaining equally relevant to those engaged in active research or in self-study. A full understanding of machine learning requires some mathematical background and so the book includes a self-contained introduction to probability theory. However, the focus of the book is on conveying a clear understanding of ideas, with emphasis on the real-world practical value of techniques rather than on abstract theory. Complex concepts are therefore presented from multiple complementary perspectives including textual descriptions, diagrams, mathematical formulae, and pseudo-code. Chris Bishop is a Technical Fellow at Microsoft and is the Director of Microsoft Research AI4Science. He is a Fellow of Darwin College Cambridge, a Fellow of the Royal Academy of Engineering, and a Fellow of the Royal Society. Hugh Bishop is an Applied Scientist at Wayve, a deep learning autonomous driving company in London, where he designs and trains deep neural networks. He completed his MPhil in Machine Learning and Machine Intelligence at Cambridge University. “Chris Bishop wrote a terrific textbook on neural networks in 1995 and has a deep knowledge of the field and its core ideas. His many years of experience in explaining neural networks have made him extremely skillful at presenting complicated ideas in the simplest possible way and it is a delight to see these skills applied to the revolutionary new developments in the field.” -- Geoffrey Hinton "With the recent explosion of deep learning and AI as a research topic, and the quickly growing importance of AI applications, a modern textbook on the topic was badly needed. The "New Bishop" masterfully fills the gap, covering algorithms for supervised and unsupervised learning, modern deep learning architecture families, as well as how to apply all of this to various application areas." – Yann LeCun “This excellent and very educational book will bring the reader up to date with the main concepts and advances in deep learning with a solid anchoring in probability. These concepts are powering current industrial AI systems and are likely to form the basis of further advances towards artificial general intelligence.” -- Yoshua Bengio



Proceedings Of 3rd International Conference On Machine Learning Advances In Computing Renewable Energy And Communication


Proceedings Of 3rd International Conference On Machine Learning Advances In Computing Renewable Energy And Communication
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Author : Anuradha Tomar
language : en
Publisher: Springer Nature
Release Date : 2022-09-17

Proceedings Of 3rd International Conference On Machine Learning Advances In Computing Renewable Energy And Communication written by Anuradha Tomar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-17 with Technology & Engineering categories.


This book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2021), held in Krishna Engineering College, Ghaziabad, India, during 10 – 11 December, 2021. This book discusses key concepts, challenges and potential solutions in connection with established and emerging topics in advanced computing, renewable energy and network communications.



Advances In Ai For Cloud Edge And Mobile Computing Applications


Advances In Ai For Cloud Edge And Mobile Computing Applications
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Author : Shrikaant Kulkarni
language : en
Publisher: CRC Press
Release Date : 2025-07-08

Advances In Ai For Cloud Edge And Mobile Computing Applications written by Shrikaant Kulkarni and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-08 with Computers categories.


This new book presents some exciting advances in AI applications, highlighting trends and innovations in edge, cloud, and mobile computing and how they can be integrated with advanced AI for enhancing services, privacy, and security. It explores algorithms, architectures, reliable AI-powered IoTs, and other aspects in networking and applications in diverse frontier areas. These state-of-the-art technologies have a comparative advantage in terms of very low latency, fast response time, low bandwidth cost, and improved resilience. First focusing on advanced cloud AI services, the authors look at a power trading framework of cloud-edge computing in an AI bazaar, the use of anomaly detection in AI in a cloud-fuzzy environment, holistic resource management based on AI and sustainable cloud computing, the application of AI for enhanced privacy and security in smart environments, AI in wireless sensor networks, and more. The volume also presents advances in state-of-the-art edge AI services, along with problems that may be confronted during the application and execution of computing services. The chapters discuss AI applications together with cloud, edge, and mobile computing that serve the areas of e-commerce and commercial banking, while making use of AI for sustainable human resource management and natural resource management.



Advances In Ai For Financial Cyber And Healthcare Analytics A Multidisciplinary Approach


Advances In Ai For Financial Cyber And Healthcare Analytics A Multidisciplinary Approach
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Author : Ashwani Kumar, Mohit Kumar, Avinash Kumar Sharma, Yojna Arora
language : en
Publisher: Bentham Science Publishers
Release Date : 2025-08-21

Advances In Ai For Financial Cyber And Healthcare Analytics A Multidisciplinary Approach written by Ashwani Kumar, Mohit Kumar, Avinash Kumar Sharma, Yojna Arora and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-21 with Computers categories.


Advances in AI for Financial, Cyber, and Healthcare Analytics: A Multidisciplinary Approach comprehensively explores how artificial intelligence and machine learning are reshaping decision-making, predictive modelling, and operational strategies across three critical sectors—finance, cybersecurity, and healthcare. Across nine chapters, the book delves into the foundations of financial analytics and explores AI’s role in market prediction, fraud detection, and risk analysis. It progresses into healthcare applications such as disease classification using ResNet, ethical implications of AI decisions, and the evolution of human-centred, edge-driven healthcare systems. In the cybersecurity domain, it addresses predictive threat modelling, smart home authentication, and biometric identification through advanced AI techniques. Key features: Unifies financial, healthcare, and cyber analytics through AI-driven solutions Demonstrates practical implementations with code examples and case studies Covers cutting-edge technologies like CNN-LSTM, attention models, and edge computing Addresses ethical, technical, and human-centred dimensions of AI.



Advances In Data Driven Computing And Intelligent Systems


Advances In Data Driven Computing And Intelligent Systems
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Author : Jagdish Chand Bansal
language : en
Publisher: Springer Nature
Release Date : 2025-09-26

Advances In Data Driven Computing And Intelligent Systems written by Jagdish Chand Bansal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-26 with Technology & Engineering categories.


This book is a collection of best-selected research papers presented at the International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2024) held at BITS Pilani, K Birla Goa Campus, Goa, India, during September 20–21, 2024. It includes state-of-the-art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book is useful for academicians, research scholars, and industry persons.



Insights In Technical Advances In Plant Science 2023


Insights In Technical Advances In Plant Science 2023
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Author : Roger Deal
language : en
Publisher: Frontiers Media SA
Release Date : 2025-05-13

Insights In Technical Advances In Plant Science 2023 written by Roger Deal and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-13 with Science categories.


We are now entering the third decade of the 21st Century, and, especially in the last years, the achievements made by scientists have been exceptional, leading to major advancements in the fast-growing field of plant science. Frontiers has organized a series of Research Topics to highlight the latest advancements in research across the field of plant science, with articles from the Associate Members of our accomplished Editorial Boards. This editorial initiative of particular relevance, led by Dr. Roger Deal, Specialty Chief Editor of the Technical Advances in Plant Science section, is focused on new insights, novel developments, current challenges, latest discoveries, recent advances, and future perspectives in the field of Technical Advances in Plant Science. The Research Topic solicits brief, forward-looking contributions from the editorial board members that describe the state of the art, outlining, recent developments and major accomplishments that have been achieved and that need to occur to move the field forward. Authors are encouraged to identify the greatest challenges in the sub-disciplines, and how to address those challenges. The goal of this special edition Research Topic is to shed light on the progress made in the past decade in the Technical Advances in Plant Science field, and on its future challenges to provide a thorough overview of the field. This article collection will inspire, inform, and provide direction and guidance to researchers in the field. We welcome original research, reviews, perspective, and thought-provoking opinion articles to this Research Topic.



Machine Learning Ecml


Machine Learning Ecml
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Author :
language : en
Publisher:
Release Date : 1995

Machine Learning Ecml written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Induction (Logic) categories.




The 10th International Scientific Conference On Advances In Mechanical Engineering Iscame


The 10th International Scientific Conference On Advances In Mechanical Engineering Iscame
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Author : Mihály Csüllög
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2025-07-03

The 10th International Scientific Conference On Advances In Mechanical Engineering Iscame written by Mihály Csüllög and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-03 with Technology & Engineering categories.


Selected peer-reviewed extended articles based on abstracts presented at The 10th International Scientific Conference on Advances in Mechanical Engineering (ISCAME 2024) Aggregated Book



Advancement Of Learning And Novum Organum


Advancement Of Learning And Novum Organum
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Author : Francis Bacon
language : en
Publisher:
Release Date : 1900

Advancement Of Learning And Novum Organum written by Francis Bacon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1900 with Literature categories.