Fundamentals Schr Dinger S Equation To Deep Learning
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Fundamentals Schr Dinger S Equation To Deep Learning
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Author : N.B. Singh
language : en
Publisher: N.B. Singh
Release Date :
Fundamentals Schr Dinger S Equation To Deep Learning written by N.B. Singh and has been published by N.B. Singh this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
"Focusing on the journey from understanding Schrödinger's Equation to exploring the depths of Deep Learning, this book serves as a comprehensive guide for absolute beginners with no mathematical backgrounds. Starting with fundamental concepts in quantum mechanics, the book gradually introduces readers to the intricacies of Schrödinger's Equation and its applications in various fields. With clear explanations and accessible language, readers will delve into the principles of quantum mechanics and learn how they intersect with modern technologies such as Deep Learning. By bridging the gap between theoretical physics and practical applications, this book equips readers with the knowledge and skills to navigate the fascinating world of quantum mechanics and embark on the exciting journey of Deep Learning."
Introductory Quantum Computing A Practical Approach Using Python
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Author : Nikhil Ranjan Roy, Kuntal Mukherjee
language : en
Publisher: S. Chand Publishing
Release Date :
Introductory Quantum Computing A Practical Approach Using Python written by Nikhil Ranjan Roy, Kuntal Mukherjee and has been published by S. Chand Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Quantum Computing has opened a new orientation in the world of Computing, Security, Networking, Machine Learning and many more allied disciplines. In this extremely dynamic transitional period, Introductory Quantum Computing presents the ideas and concepts of Quantum Computing for learners in a manner that is simple and easy to learn from a gentle introduction to the core topics and, finally, the algorithms, applications, physical realisations and simulation using sophisticated open-source programming language, namely Python programming language and IBM-Qiskit (Cloud Computing based Quantum Computing Platform by IBM). The book covers important topics such as Quantum Mechanical Preliminaries, Quantum Model of Computation, The Quantum Circuit Model, Quantum Supremacy and The Versatility of Quantum Computing thereby providing a significant view of the subject.
Robotic Mechanical Systems Fundamentals
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Author : Shridhar Shastri
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Robotic Mechanical Systems Fundamentals written by Shridhar Shastri and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Technology & Engineering categories.
"Robotic Mechanical Systems Fundamentals" serves as a comprehensive guide to understanding the core principles and technological intricacies of robotic systems in today’s rapidly evolving landscape. We offer an in-depth exploration of the mechanical foundations that drive the design, control, and functionality of robots, making it an essential resource for students, researchers, and industry professionals. Our journey begins with a thorough examination of the fundamental concepts and historical developments that shape robotics. Readers will gain insights into the dynamics of robotic systems through the Newton-Euler equations, paving the way for a deeper understanding of the Lagrange formulation, which offers a powerful framework for analyzing robot motion. Focusing on dynamic modeling, we provide a detailed look at the mechanisms governing the behavior of manipulators, emphasizing the complexities involved in designing and controlling robotic arms. Additionally, we address control forces and torques, highlighting strategies to ensure precision and efficiency in robotic actions. With a holistic approach that considers the ethical and societal implications of robotics, "Robotic Mechanical Systems Fundamentals" balances theoretical foundations with practical applications, making it accessible for beginners and valuable for seasoned professionals. Authored by experts, our book equips readers to navigate the fascinating world of robotics, inspiring a deeper appreciation for the technologies that shape our future.
Exploring The Fusion Of Quantum Computing And Machine Learning
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Author : R.I., Minu
language : en
Publisher: IGI Global
Release Date : 2025-04-17
Exploring The Fusion Of Quantum Computing And Machine Learning written by R.I., Minu and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Computers categories.
The fusion of quantum computing and machine learning holds the potential to revolutionize how we solve complex problems. Quantum computing, with its ability to process vast amounts of data through the principles of quantum mechanics, could accelerate machine learning algorithms, enabling faster and more efficient pattern recognition, optimization, and decision-making. This convergence helps overcome limitations faced by classical computing in fields like artificial intelligence, drug discovery, cryptography, and more. As researchers continue to explore this fusion, the potential applications of quantum-enhanced machine learning increase, opening new possibilities for innovation and problem-solving across industries. Exploring the Fusion of Quantum Computing and Machine Learning explores the revolutionary fusion of quantum computing and machine learning. It examines practical applications, demonstrating how the integration of quantum computing and machine learning algorithms can reveal new solutions for complex problems, paving the way for advancements in various fields. This book covers topics such as neural networks, online marketing, and quantum systems, and is a useful resource for computer engineers, energy scientists, marketers, business owners, medical professionals, academicians, and researchers.
Quantum Machine Learning
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Author : S Karthikeyan
language : en
Publisher: CRC Press
Release Date : 2024-10-28
Quantum Machine Learning written by S Karthikeyan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-28 with Computers categories.
This book presents the research into and application of machine learning in quantum computation, known as quantum machine learning (QML). It presents a comparison of quantum machine learning, classical machine learning, and traditional programming, along with the usage of quantum computing, toward improving traditional machine learning algorithms through case studies. In summary, the book: Covers the core and fundamental aspects of statistics, quantum learning, and quantum machines. Discusses the basics of machine learning, regression, supervised and unsupervised machine learning algorithms, and artificial neural networks. Elaborates upon quantum machine learning models, quantum machine learning approaches and quantum classification, and boosting. Introduces quantum evaluation models, deep quantum learning, ensembles, and QBoost. Presents case studies to demonstrate the efficiency of quantum mechanics in industrial aspects. This reference text is primarily written for scholars and researchers working in the fields of computer science and engineering, information technology, electrical engineering, and electronics and communication engineering.
Fundamentals Of Ordinary Differential Equations
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Author : Mohit Chatterjee
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Fundamentals Of Ordinary Differential Equations written by Mohit Chatterjee and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Science categories.
"Fundamentals of Ordinary Differential Equations" is a comprehensive guide designed for students, researchers, and professionals to master ODE theory and applications. We cover essential principles, advanced techniques, and practical applications, providing a well-rounded resource for understanding differential equations and their real-world impact. The book offers a multifaceted approach, from basic principles to advanced concepts, catering to fields like physics, engineering, biology, and economics. Mathematical ideas are broken down with step-by-step explanations, examples, and illustrations, making complex concepts accessible. Real-world examples throughout each chapter show how ODEs model and analyze systems in diverse disciplines. We also explain numerical methods such as Euler’s method, Runge-Kutta, and finite differences, equipping readers with computational tools for solving ODEs. Advanced topics include bifurcation, chaos theory, Hamiltonian systems, and singular perturbations, providing an in-depth grasp of ODE topics. With chapter summaries, exercises, glossaries, and additional resources, "Fundamentals of Ordinary Differential Equations" is an essential reference for students, professionals, and practitioners across science and engineering fields.
Numerical Analysis Meets Machine Learning
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Author :
language : en
Publisher: Elsevier
Release Date : 2024-06-13
Numerical Analysis Meets Machine Learning written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-13 with Mathematics categories.
Numerical Analysis Meets Machine Learning series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in the Handbook of Numerical Analysis series - Updated release includes the latest information on the Numerical Analysis Meets Machine Learning
Machine Learning Theory And Applications
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Author : Xavier Vasques
language : en
Publisher: John Wiley & Sons
Release Date : 2024-01-11
Machine Learning Theory And Applications written by Xavier Vasques and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-11 with Computers categories.
Machine Learning Theory and Applications Enables readers to understand mathematical concepts behind data engineering and machine learning algorithms and apply them using open-source Python libraries Machine Learning Theory and Applications delves into the realm of machine learning and deep learning, exploring their practical applications by comprehending mathematical concepts and implementing them in real-world scenarios using Python and renowned open-source libraries. This comprehensive guide covers a wide range of topics, including data preparation, feature engineering techniques, commonly utilized machine learning algorithms like support vector machines and neural networks, as well as generative AI and foundation models. To facilitate the creation of machine learning pipelines, a dedicated open-source framework named hephAIstos has been developed exclusively for this book. Moreover, the text explores the fascinating domain of quantum machine learning and offers insights on executing machine learning applications across diverse hardware technologies such as CPUs, GPUs, and QPUs. Finally, the book explains how to deploy trained models through containerized applications using Kubernetes and OpenShift, as well as their integration through machine learning operations (MLOps). Additional topics covered in Machine Learning Theory and Applications include: Current use cases of AI, including making predictions, recognizing images and speech, performing medical diagnoses, creating intelligent supply chains, natural language processing, and much more Classical and quantum machine learning algorithms such as quantum-enhanced Support Vector Machines (QSVMs), QSVM multiclass classification, quantum neural networks, and quantum generative adversarial networks (qGANs) Different ways to manipulate data, such as handling missing data, analyzing categorical data, or processing time-related data Feature rescaling, extraction, and selection, and how to put your trained models to life and production through containerized applications Machine Learning Theory and Applications is an essential resource for data scientists, engineers, and IT specialists and architects, as well as students in computer science, mathematics, and bioinformatics. The reader is expected to understand basic Python programming and libraries such as NumPy or Pandas and basic mathematical concepts, especially linear algebra.
Fundamentals Of Inorganic Glasses
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Author : Arun K. Varshneya
language : en
Publisher: Elsevier
Release Date : 2019-05-09
Fundamentals Of Inorganic Glasses written by Arun K. Varshneya and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-09 with Science categories.
Fundamentals of Inorganic Glasses, Third Edition, is a comprehensive reference on the field of glass science and engineering that covers numerous, significant advances. This new edition includes the most recent advances in glass physics and chemistry, also discussing groundbreaking applications of glassy materials. It is suitable for upper level glass science courses and professional glass scientists and engineers at industrial and government labs. Fundamental concepts, chapter-ending problem sets, an emphasis on key ideas, and timely notes on suggested readings are all included. The book provides the breadth required of a comprehensive reference, offering coverage of the composition, structure and properties of inorganic glasses. - Clearly develops fundamental concepts and the basics of glass science and glass chemistry - Provides a comprehensive discussion of the composition, structure and properties of inorganic glasses - Features a discussion of the emerging applications of glass, including applications in energy, environment, pharmaceuticals, and more - Concludes chapters with problem sets and suggested readings to facilitate self-study
Quantum Mechanics
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Author : Bharat Saluja
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Quantum Mechanics written by Bharat Saluja and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Science categories.
"Quantum Mechanics: Fundamental Theories" offers an engaging exploration of quantum physics, providing an in-depth look into the core principles that shape this groundbreaking field. We introduce the fundamental concepts of quantum mechanics—such as wave-particle duality, quantum superposition, and uncertainty—while demystifying the theory’s mathematical and conceptual frameworks. Designed for both newcomers and seasoned readers, our book covers the theoretical underpinnings of quantum mechanics along with its revolutionary applications in fields like quantum computing, cryptography, and advanced sensing. Each topic is presented to highlight the transformative potential of quantum principles, demonstrating how they push the boundaries of technology and redefine communication, measurement, and computation. We delve into thought-provoking questions and emerging challenges that continue to shape quantum mechanics, offering insights into unresolved mysteries and potential future advancements. Whether you’re a student, researcher, or curious reader, "Quantum Mechanics: Fundamental Theories" provides a comprehensive and accessible journey into one of the most fascinating realms of modern science.