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

The book begins with a gentle introduction to SQL, assuming no prior knowledge, and builds a strong foundation through practical, real-world examples drawn from e-commerce, finance, and logistics. You won’t just learn syntax; you will learn how to solve realistic problems. From there, the book seamlessly transitions into the core focus: the powerful synergy between SQL and AI. You will learn how to leverage your SQL skills to prepare data for machine learning models and, more importantly, how to use AI to make your interaction with databases faster, more intuitive, and infinitely more ...

This textbook, "Neuromorphic Computing," has been meticulously crafted to serve as a comprehensive guide for undergraduate (B.Tech) and postgraduate (M.Tech) students, as well as researchers and professionals eager to delve into this revolutionary domain. Recognizing the global and rapidly evolving nature of this field, the content herein is designed to be strictly compatible with the forward-looking National Education Policy (NEP) 2020 of India, the All India Council for Technical Education (AICTE) model syllabus, and the core curricula of leading universities worldwide. My goal is to ...

"The Data Lakehouse" provides a comprehensive, principles-first, and hands-on guide to the most significant architectural shift in the data industry in the last decade. This textbook demystifies the Data Lakehouse paradigm, which unifies the capabilities of data lakes and data warehouses to create a single, simplified, and powerful platform for all data, analytics, and AI workloads. Key Features: 1. Globally Relevant: The content, technologies (Apache Spark, Delta Lake), and architectural patterns are universally applicable, making it compatible with the syllabus of international ...

This book, "Developing LLMs" (A Crucial Step in the End-to-End LLM Development Lifecycle,)" is born out of a need for a structured, practical, and principles-first guide. While many resources focus on either the high-level, abstract theory or the simplistic use of APIs, there exists a significant gap for a text that walks the learner through the crucial development phase - the journey from understanding the foundational Transformer architecture to fine-tuning, adapting, and deploying a model for a real-world problem. Key Features: 1. NEP 2020 & AICTE Compliant: The content is structured to ...

This book, "Artificial Intelligence in Civil Engineering," is born out of the pressing need to equip the next generation of civil engineers—and indeed, practicing professionals—with the knowledge and skills to navigate and lead this transformation. "Artificial Intelligence in Civil Engineering: Bridging Bytes and Beams for a Smarter, Sustainable Future" is a comprehensive textbook designed to introduce undergraduate (B.Tech) and postgraduate (M.Tech) students, as well as practicing civil engineers and researchers, to the transformative potential of Artificial Intelligence (AI) in the ...

"Model Context Protocol" is a definitive, hands-on guide for students, developers, and researchers looking to master the next evolution of Artificial Intelligence. In an era dominated by Large Language Models (LLMs), the true differentiator for creating powerful, reliable, and valuable AI applications lies in the ability to provide them with accurate, relevant, and timely context. This book systematically demystifies this process, introducing the "Model Context Protocol" (MCP)—a comprehensive framework for building context-aware AI systems. Why This Book? While many books focus on the ...

"Mastering Claude AI" is a comprehensive, one-stop guide meticulously designed for students of B.Tech and M.Tech, as well as aspiring AI developers and tech enthusiasts. In an era where understanding and leveraging Large Language Models (LLMs) is becoming a crucial skill, this book provides a structured, practical, and easy-to-follow pathway to mastering Anthropic's Claude AI. Key Features of This Book: 1. Beginner to Advanced Trajectory: The 10-chapter structure ensures a smooth learning curve, starting with "What is Claude?" and culminating in building a complete software application. 2. ...

"Data Analytics for Emerging Technologies" is a comprehensive and practical guide designed to navigate the dynamic intersection where data analytics meets the transformative technologies of Artificial Intelligence (AI), the Internet of Things (IoT), and Blockchain. This textbook serves as an essential resource for undergraduate (B.Tech) and postgraduate (M.Tech) students in Computer Science, Information Technology, Electronics, and other engineering disciplines. It is also an invaluable asset for researchers, data professionals, and technology enthusiasts seeking to upskill and stay ahead ...

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 ...

This book, "AI in Education," was born out of a necessity to bridge the gap between the theoretical constructs of Artificial Intelligence and their practical, impactful application within the educational ecosystem. While numerous texts delve into the depths of machine learning algorithms or the philosophies of pedagogy, there exists a critical need for a unified resource that speaks to both domains. This book is designed to be that bridge. It is crafted for the aspiring B.Tech and M.Tech students who will build the future of educational technology, for the educators who will wield these new...

"Causal AI: Beyond Correlation" is a comprehensive, practical, and accessible guide to the principles and practices of Causal Inference and its application in modern Artificial Intelligence. Designed for B.Tech and M.Tech students in Computer Science, Data Science, and related engineering disciplines, this book serves as both a foundational textbook and a hands-on manual for building more intelligent, robust, and interpretable AI systems. Key Features of This Book: 1. Beginner to Advanced Trajectory: The book follows a logical progression, starting with the fundamental concepts of causality...

This textbook, "Statistical Techniques for Machine Learning," is born from a desire to bridge this gap. It is crafted specifically for the next generation of technologists—the B.Tech and M.Tech students who will build the future. Our philosophy is simple: to demystify the statistical principles that are the lifeblood of machine learning. We eschew overly dense mathematical notation in favor of intuitive explanations, practical examples, and a clear line of sight from statistical theory to real-world ML application. Key Features of This Book: 1. NEP 2020 & AICTE Compliant: The structure ...

In the current era of technological marvels, the advent of Artificial Intelligence, particularly Large Language Models (LLMs), has marked a pivotal moment in the history of computing. The ability to solve complex problems is no longer just about writing explicit code for every possible scenario; it's about teaching machines to reason, to break down challenges into logical steps, and to arrive at solutions in a manner that mimics human cognition. This fundamental shift is encapsulated in the powerful concept of the "Chain of Thought." Key Features of This Book: 1. Beginner to Advanced ...

"Applied Generative AI" is a comprehensive, student-centric textbook designed to navigate the dynamic and transformative world of Generative Artificial Intelligence. Authored for B.Tech and M.Tech students in computer science, information technology, and related engineering disciplines, this book serves as a one-stop resource that bridges the gap between foundational theory and hands-on application. Key Features: 1. Practical-First Approach: Every theoretical concept is paired with simple, easy-to-understand code snippets and practical examples using popular Python libraries like PyTorch, ...

"Mastering AI Development with LangGraph and LangChain" is a comprehensive, hands-on guide designed for students, developers, and AI enthusiasts who want to build sophisticated, next-generation AI applications. This book bridges the gap between theoretical knowledge of Large Language Models (LLMs) and the practical skills required to create real-world, production-ready systems. It charts a clear learning path from the foundational concepts of LangChain to the advanced, cyclical, and stateful architectures possible with LangGraph. Key Features: 1. Beginner to Advanced Progression: The book ...

This book, "6G and Future Networks," is born out of a necessity to provide a structured, comprehensive, and accessible gateway into this next frontier. While 5G focused on connecting people and things, 6G promises something far more profound: the seamless integration of the physical, digital, and human worlds. It envisions a future of holographic communication, the Internet of Senses, globally interconnected intelligent machines, and digital twins that mirror our reality with perfect fidelity. This is not science fiction; it is the tangible future that engineers, researchers, and students ...

"Cloud-Edge Convergence" provides a comprehensive, hands-on exploration of one of the most transformative architectural shifts in modern computing. This book demystifies how the centralized power of the cloud and the distributed, real-time responsiveness of the edge can be combined to build next-generation intelligent systems. It serves as an essential guide for students and professionals aiming to master the principles, technologies, and practical skills required to design and deploy robust, scalable, and efficient distributed applications. Key Features: 1. Comprehensive Coverage: Offers a...

"Optical Computing" provides a comprehensive and accessible pathway into the next generation of high-performance computing. This book demystifies the intricate world of photonics, presenting a clear and structured exploration of how light (photons) can be used to perform computations at speeds and efficiencies unattainable by traditional electronics. Moving beyond pure theory, this text is designed as a practical guide for students and professionals to understand, design, and simulate fundamental optical computing systems. Key Features: 1. Comprehensive Coverage: Ten logically structured ...

As we stand on the precipice of a new age, the integration of generative AI and large language models (LLMs) into our daily lives is not merely a trend; it is a paradigm shift. These technologies are not just tools; they are catalysts for innovation, enabling us to tackle some of the most pressing challenges of our time. From enhancing patient care in healthcare systems to personalizing learning experiences in education, from optimizing crop yields in agriculture to revolutionizing energy management, the applications of generative AI are as diverse as they are impactful.In the realm of ...

This book, "Building Autonomous AI Agents with LangGraph: A Developer’s Guide," is born from a desire to demystify the art and science of agent creation. My goal is to provide a clear, practical, and hands-on journey for students and developers alike. We will start from the absolute fundamentals—what an agent is and why we need them—and progressively build our way up to deploying a sophisticated, autonomous research assistant. Every concept is introduced with a clear purpose, immediately followed by practical code examples, and contextualized with real-world scenarios. I believe that ...