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

"Building Applications using AI Agents" is a comprehensive, practical, and hands-on guide designed to take you from a foundational understanding of Artificial Intelligence to a state of proficiency where you can architect, develop, and deploy sophisticated AI agent-based applications. This book is engineered to be your single-stop resource, whether you are a student taking your first steps into AI or a seasoned developer looking to master the next frontier of software development. Philosophy The core philosophy of this book is "Learn by Building." Abstract theory, while important, can only ...

This book is a comprehensive, practical-first guide to the Internet of Things. It is meticulously engineered to serve a single, primary purpose: to equip you with the tangible skills required to design, build, and deploy end-to-end IoT solutions. This is not a theoretical survey of the field; it is a structured, hands-on manual for the modern technologist, student, and creator. Philosophy: From Concept to Code The guiding philosophy of this book is "learning by doing." The Internet of Things is an applied discipline, and true comprehension is achieved not by memorizing definitions but by ...

"Developing Apps with GPT-4 and ChatGPT" is a comprehensive, practical, and beginner-friendly guide designed to take you from zero knowledge to a confident AI application developer. In an era where Large Language Models (LLMs) are reshaping industries, this book serves as your essential roadmap to understanding and leveraging the power of GPT-4 and the ChatGPT API. Key Features of This Book: 1. Project-Based Learning: Every chapter contains practical exercises and mini-projects, ensuring you learn by building. The book concludes with a comprehensive capstone project to solidify your skills....

This book provides a comprehensive, practical, and implementation-oriented guide to the Digital Personal Data Protection Act, 2023. It is specifically crafted for students of Computer Science and engineering disciplines, aiming to translate legal principles into tangible engineering practices. Philosophy The core philosophy of this book is "Privacy Engineering in Practice." I believe that data protection is not just a legal or compliance hurdle but a fundamental aspect of quality software engineering. In an era where technology is deeply intertwined with human lives, engineers and ...

"Data Governance for AI" is a comprehensive textbook and practical guide designed for university students and aspiring professionals. It systematically addresses the critical discipline of governing data assets for the successful and responsible development of Artificial Intelligence systems. Philosophy The core philosophy of this book is that effective data governance is an enabler, not a constraint, for innovation in AI. We treat data governance not as a bureaucratic overhead but as a strategic imperative that builds trust, mitigates risk, and directly enhances the performance and ...

The era of static Artificial Intelligence is drawing to a close. For years, the standard paradigm has been to train a model on a massive dataset, deploy it, and hope its performance remains stable. However, the real world is not a static dataset. It is a dynamic, ever-changing environment where user preferences shift, new data patterns emerge, and unforeseen events occur. Consequently, deployed AI models often suffer from "concept drift," their accuracy and relevance decaying silently over time, necessitating costly and cumbersome manual retraining cycles. This book, "Self-Improving ...

This book is written from the ground up to serve as a comprehensive, implementation-driven guide to the worlds of DevOps & Site Reliability Engineering (SRE). It is designed to bridge the critical gap between academic computer science theory and the practical, in-demand skills required to build, deploy, and maintain modern, scalable software systems. Philosophy: Competence Through Implementation The guiding philosophy of this book is "competence through implementation." DevOps & Site Reliability Engineering are not spectator sports. They are hands-on disciplines where value is created by ...

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 ...

"Cybercrime and Pattern Analysis Using Gen AI" is a comprehensive textbook and practical guide designed for the modern era of cybersecurity. It systematically explores the application of cutting-edge Generative AI techniques to detect, analyze, and proactively defend against a wide spectrum of cyber threats. Philosophy The core philosophy of this book is that cybersecurity must evolve from a reactive posture to a proactive and intelligent one. Traditional security measures are failing because they are designed to recognize known threats. Modern adversaries, however, create unknown threats. ...

This book provides a comprehensive, practical, and principles-driven guide to implementing Site Reliability Engineering (SRE) for applications powered by Generative AI and Large Language Models (LLMs). It is designed to serve as a core textbook for university courses and a vital handbook for industry professionals. Philosophy: The core philosophy of this book is "Reliability by Design for the AI Era." We posit that the non-deterministic, complex, and often opaque nature of GenAI systems demands a new, integrated approach to reliability. It is not enough to simply "bolt on" monitoring to a ...

"MLOps and Infrastructure Technologies" is a comprehensive, practical, and accessible guide designed to demystify the complex process of taking machine learning models from concept to production. In an era where AI is redefining industries, the ability to build, deploy, and manage ML systems at scale is no longer a niche skill but a fundamental requirement for technology professionals. This book serves as a definitive resource for students and aspiring engineers, providing the foundational knowledge and hands-on skills needed to excel in the dynamic field of MLOps. Key Features: 1. Beginner...

Software is the backbone of the modern world, yet its construction often relies more on craft and convention than on rigorous engineering. While traditional software development lifecycles incorporate extensive testing and quality assurance, these practices are fundamentally reactive—they are designed to find bugs that have already been written into the code. This book, "Formal Methods in Software Engineering," introduces a proactive, engineering-driven approach to building software that is correct by design. It is built to bridge the long-standing gap between the immense power of formal ...

The Co-Pilot Engineering: Building the Digital Second Brain" is a comprehensive, hands-on guide designed to equip students and professionals with the end-to-end skills required to design, build, and deploy sophisticated AI-powered Co-Pilots. In an era where generative AI is reshaping industries, this book provides the essential engineering roadmap to harness its power effectively. It bridges the critical gap between understanding AI theory and applying it to create practical, value-driven applications. Philosophy The core philosophy of this book is "Learning by Building." We believe that ...

"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 ...

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 ...

"AI Agents and Autonomous Systems" is a comprehensive, modern, and practical guide designed to navigate the exciting landscape of intelligent systems. This book serves as both a university textbook and a hands-on manual for anyone looking to understand, design, and build the next generation of AI. In an era where AI is moving from a passive tool to an active participant, understanding the principles of autonomy is no longer optional—it is essential. We cut through the hype and provide a clear, structured pathway from foundational theories to the implementation of cutting-edge, LLM-powered...

"Quantum AI: Beyond the Bit" is a comprehensive, application-focused textbook designed to equip computer science students and developers with the practical skills needed to build applications at the intersection of quantum computing and artificial intelligence. This book demystifies Quantum AI by treating it as an engineering discipline. It eschews dense theoretical physics in favor of a clear, step-by-step methodology for designing, coding, and implementing quantum-enhanced machine learning models. We start with a simple question—"How can we use a quantum computer to solve an AI problem?...

"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...

"Temporal AI: Mastering Time-Series with Foundation Models" is a comprehensive, practical-first guide designed to equip readers with the knowledge and skills to leverage cutting-edge AI techniques for time-series analysis and forecasting. The ability to understand and predict the future based on the past is one of the most critical challenges in data science. From forecasting energy demand to prevent blackouts, to predicting stock prices for financial stability, time-series data is the lifeblood of intelligent decision-making. This book is not merely a theoretical overview; it is a ...

About the Book This book provides a direct and practical pathway into the world of game theory, specifically tailored for application in game design and artificial intelligence development. It demystifies a powerful academic subject and transforms it into an accessible, hands-on tool for creators. Philosophy The guiding philosophy of this book is "Application over Abstraction." I believe that theoretical knowledge becomes truly valuable when it can be used to build something tangible. Every concept introduced is framed around a central question: "How can I use this to make a game's AI ...