Mostrando resultados por autor "Ajit Singh" en Todas las categorías

"Knowledge Graph" is a comprehensive, practical, and student-centric guide designed to navigate the dynamic and powerful world of connected data. This book serves as a one-stop resource for B.Tech and M.Tech students, bridging the gap between foundational theory and cutting-edge, industry-relevant application. It systematically demystifies how to model, build, query, and leverage Knowledge Graphs to create truly intelligent systems. Key Features of This Book: 1. Beginner to Advanced Trajectory: The 10-chapter structure provides a smooth learning curve, starting from the absolute basics of ...

"Beyond Silicon: The Age of DNA Computation" serves as a comprehensive and accessible guide to one of the most exciting frontiers in science and technology. This book demystifies the field of DNA computation, which harnesses the immense information-carrying capacity and parallelism of the DNA molecule to perform calculations. It provides a structured journey from the fundamental principles of molecular biology to the design of complex molecular algorithms, circuits, and nanostructures. Key Features of This Book: 1. Beginner to Advanced Approach: No prior expertise in molecular biology is ...

"Drone Technology: Building from Scratch" is a comprehensive, hands-on guide designed to take readers from foundational principles to the construction and programming of a fully functional autonomous drone. This book serves as both a university textbook and a practical project manual, meticulously designed for the next generation of engineers and technologists. Philosophy: The core philosophy of this book is "learning by building." I believe that abstract concepts in engineering and computer science become concrete and memorable only when they are applied to create something tangible. This ...

"Core Concept of Multi-Model Databases" is a comprehensive, practical, and accessible guide designed to equip students and professionals with the essential knowledge and skills to navigate the next generation of data management. In an era where data is inherently complex and multifaceted, this book demystifies the powerful paradigm of multi-model databases, which provide a unified platform to handle diverse data types like documents, graphs, and key-value pairs within a single, integrated system. Key Features: 1. Beginner to Advanced Trajectory: The book starts with the absolute basics of ...

"AI and Robotics: Integrating Intelligence into Machines" is intended for senior undergraduate (B.Tech) and postgraduate (M.Tech) students in Computer Science, Electrical Engineering, Mechanical Engineering, Mechatronics, AI, and Robotics. It can serve as a primary textbook for integrated courses on AI and Robotics, or as a valuable supplementary resource for specialized courses within these domains. Educators will find the structured approach, coupled with examples and potential project ideas hinted at through the content, conducive to designing engaging and effective learning experiences....

Cloud Computing has recently emerged as one of the buzzwords of ICT industry. Numerous IT vendors are promising to offer computation, storage and application hosting services and to provide coverage in several continents, offering service-level agreements backed performance and uptime promises for their services. While these clouds are the natural evolution of traditional data centers, they are distinguished by exposing resources as standards-based Web services and following a utility pricing model where customers are charged based on their utilization of computational resources. This book ...

This book, "Vector Databases: The Engine of the AI Revolution," is born from the necessity to bridge this gap. It is written for the next generation of engineers, data scientists, and innovators—the students of today who will build the intelligent systems of tomorrow. The focus is no longer just on theoretical knowledge, but on practical application, critical thinking, and multidisciplinary problem-solving. This book embodies that spirit. Who is this book for? 1. B.Tech and M.Tech Students in Computer Science, IT, and AI/ML specializations. 2. Aspiring AI/ML Engineers and Data Scientists ...

"Mastering Cybersecurity using Generative AI" is a comprehensive, practical, and forward-looking textbook designed to bridge the gap between the theoretical concepts of Artificial Intelligence and the practical demands of modern Cybersecurity. It serves as both a university-level textbook and a professional's guide to understanding and leveraging the transformative power of Generative AI in defending our digital assets. Key Features of This Book: 1. Globally Compatible Syllabus: The topics covered are universal and map directly to cybersecurity and AI courses in universities worldwide, ...

"Reversible Computing" provides a comprehensive and accessible introduction to one of the most promising paradigms for the future of technology. As conventional computing approaches its fundamental thermodynamic limits, the principles of reversible computation offer a path toward virtually zero-power information processing. This textbook meticulously bridges the gap between the abstract theoretical physics of computation and the practical engineering of digital systems, making this complex subject understandable for students and enthusiasts alike. Pedagogical Approach: 1. Simple Language: ...

The journey through this book is structured to provide a progressive learning curve. I begin by laying the groundwork, exploring the fundamental principles of both Cloud Computing and Artificial Intelligence, and immediately delve into how these two domains intertwine. Subsequent chapters meticulously unpack the various cloud service models (IaaS, PaaS, SaaS) and their specific relevance to AI workloads. We then navigate through the critical aspects of data management, high-performance computing resources like GPUs and TPUs, and the pivotal role of specialized AI platforms-as-a-Service (AI ...

Welcome to the dawn of a new era in telecommunications—5G. In this book, I delve into the intricate workings, the profound implications, and the boundless opportunities presented by the fifth generation of wireless technology. As the digital landscape continues to evolve at an unprecedented pace, 5G stands as a cornerstone, promising not only faster connectivity but also revolutionizing entire industries, redefining user experiences, and reshaping the very fabric of society. Through these pages, I embark on a journey to understand the underlying principles of 5G technology, from its ...

Welcome to "Full-Stack AI," a comprehensive guide designed for the next generation of engineers, developers, and technology leaders. In an era where Artificial Intelligence is no longer a siloed discipline but the very fabric of modern software, the demand for professionals who can architect, build, and deploy end-to-end AI-powered solutions has skyrocketed. This book is engineered to create such professionals—the Full-Stack AI Engineers. Key Features of the Book: 1. Holistic Full-Stack Coverage: Uniquely covers the entire AI application lifecycle—from data ingestion and model training ...

"Distributed Machine Learning Systems" is a comprehensive textbook and practical guide designed to navigate the exciting and complex intersection of machine learning and distributed computing. It serves as a one-stop resource for students, academics, and professionals seeking to understand, design, and implement machine learning solutions at scale. Philosophy The core philosophy of this book is to bridge the gap between theory and practice. Machine learning is not merely a collection of algorithms; it is an engineering discipline. Similarly, distributed systems are not just theoretical ...

"Meta Learning: Building the Next Generation of AI" is a comprehensive and practical guide designed to navigate the reader from the fundamental principles to the advanced applications of meta-learning. It serves as both a textbook for students and a handbook for practitioners, meticulously crafted to be a one-stop resource for mastering the art and science of "learning to learn." Philosophy: The core philosophy of this book is built on two pillars: demystification and empowerment. Meta-learning is often perceived as an abstract and mathematically dense field, accessible only to a select few...

"Developing AI Applications" is a comprehensive, practical, and beginner-friendly guide designed to transform you from an AI enthusiast into a capable AI practitioner. This book methodically demystifies the process of building intelligent applications, covering the entire journey from foundational theory to a fully deployed, real-world project. It is meticulously crafted to serve as both a university textbook and a self-study guide for anyone passionate about creating with AI. Key Features: 1. Step-by-Step Pedagogy: Concepts are introduced sequentially, with each chapter building on the ...

"Hello Bot : Building ChatBot from Scratch" is a comprehensive, practical, and accessible guide designed to take you from the fundamental concepts of conversational AI to the deployment of a fully functional, intelligent chatbot. This book is engineered to serve as both a university textbook and a self-study guide for anyone passionate about building the next generation of human-computer interfaces. Philosophy: The core philosophy of this book is "learning by building." We demystify the perceived complexity of Artificial Intelligence by breaking it down into understandable, manageable ...

"Artificial Intelligence for Excel: Architecture, Models, and Implementation" is a comprehensive textbook designed to revolutionize the way Computer Science students and professionals approach Data Science. In an era where Artificial Intelligence (AI) is redefining industries, this book serves as a crucial bridge, connecting the theoretical rigor of academic computer science with the practical, ubiquitous utility of Microsoft Excel. Why This Book? While many books teach AI using complex IDEs like PyCharm or Jupyter Notebooks, they often alienate beginners. Conversely, Excel books rarely ...

"AI for Code" is a comprehensive, practical, and accessible guide to the revolutionary intersection of Artificial Intelligence and software engineering. In an era where AI is transforming every industry, this book serves as an essential resource for students and professionals who wish to understand, build, and leverage intelligent systems that can read, write, and reason about code. Key Features: 1. Beginner to Advanced Trajectory: Carefully structured to cater to both newcomers with basic programming knowledge and experienced developers looking to specialize in AI. 2. Hands-On Practicals: ...

"The Design Thinking: Beyond the Algorithm" is a comprehensive and practical guide designed to integrate the human-centric principles of Design Thinking into the core of a computer science education. It serves as a bridge between the world of pure logic and code, and the complex, often ambiguous, world of human needs and desires. This book is crafted for the next generation of technologists, product leaders, and innovators who understand that the most impactful technologies are not just functionally superior, but are also meaningful, intuitive, and desirable to people. Key Features of This ...

"Generative Algorithms : AI as an Inventor" is a comprehensive textbook designed to navigate the exciting and rapidly evolving field where artificial intelligence transitions from an executor of human-designed algorithms to a creator of novel ones. This book serves as both a theoretical guide and a practical handbook for undergraduate (B.Tech) and postgraduate (M.Tech) students in Computer Science, as well as for professionals and researchers in the field of AI. Philosophy: The core philosophy of this book is that true innovation in computer science no longer comes just from human ingenuity...