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

"Programming with DNA: A Guide to the Future of Data Storage and Biocomputation" provides a comprehensive and accessible entry into one of the most exciting interdisciplinary fields of the 21st century. This book demystifies the science of using DNA—the fundamental molecule of life—as a substrate for storing vast amounts of data and performing complex computations. It is designed as a one-stop resource that seamlessly integrates the principles of computer science, molecular biology, and information theory into a cohesive and understandable narrative. Key Features: 1. Beginner to ...

This book, "Graph Database Modeling," is born out of the necessity to equip the next generation of technologists, engineers, and data scientists with the mindset and skills required to navigate this new paradigm. It is designed to be more than just a technical manual; it is a guide to mastering the art and science of modeling the world as it truly is—a network of interconnected entities. Key Features: 1. NEP 2020 Aligned Pedagogy: Focuses on conceptual understanding and practical skill development over rote learning. 2. Lucid and Simple Language: Complex topics are broken down into easy-...

"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 ...

"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 ...

"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...

"Red Teaming: AI for Cybersecurity" serves as a comprehensive, hands-on guide to the revolutionary intersection of offensive security and artificial intelligence. This textbook is designed to bridge the critical knowledge gap between theoretical AI concepts and their practical application in simulating and executing sophisticated cyber-attacks for defensive purposes. It methodically walks the reader through the entire red teaming lifecycle, demonstrating at each stage how AI and Machine Learning can be leveraged to enhance speed, scale, and stealth. Key Features of the Book: 1. Progressive ...

Large Language Models is an in-depth, academically grounded exploration of one of the most transformative developments in Artificial Intelligence: the emergence and evolution of large language models (LLMs). Authored by Ajit Singh—an experienced educator, researcher, and technologist—the book offers a balanced fusion of theoretical clarity and real-world relevance, serving as both a foundational textbook and a practical guide for students, educators, and AI enthusiasts. The book is designed with an academic audience in mind, particularly B.Tech, M.Tech, MCA, and other undergraduate and ...

"Agent-Driven Software Engineering" is a comprehensive textbook and practical guide designed to introduce students, educators, and professionals to the next paradigm in software development. This book systematically explores the art and science of building complex software systems using autonomous, intelligent agents. It moves beyond traditional programming models to an approach where software is an emergent property of a society of collaborating, problem-solving entities. Key Features: 1. Beginner to Advanced Trajectory: The book follows a logical progression, starting with fundamental ...

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 ...

"Web3 & Decentralized Technologies" is a comprehensive, one-stop guide designed to navigate the exciting and transformative world of the decentralized internet. This book meticulously demystifies the core concepts of Web3, starting from the absolute fundamentals and progressively building up to advanced, practical applications. It serves as both a textbook and a hands-on manual, bridging the gap between theoretical knowledge and real-world implementation. Key Features: 1. Beginner to Advanced Trajectory: The book’s 10 chapters are logically sequenced to guide learners smoothly from ...

"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 ...

This book, "Robotics Programming and Control," is born from a recognition of a critical need in engineering education. For too long, the study of robotics has been bifurcated. On one side stand the dense, theoretical texts, rich in mathematical formalism but often disconnected from practical application. On the other lie the code-heavy tutorials that, while useful, often neglect the foundational principles of why the code works. This book aims to bridge that chasm. My core philosophy is that a truly competent robotics engineer must be a "full-stack" developer in the physical world, ...

Building with OpenAI: A Developer's Guide is a comprehensive, hands-on tutorial for students, developers, and researchers aiming to master the art of building intelligent applications using the OpenAI API. This book bridges the gap between theoretical AI concepts and practical, real-world implementation. It takes you on a structured journey from your very first API call to deploying sophisticated, production-ready AI systems. With a strong emphasis on simplicity and practical examples, this guide ensures that even those with minimal AI experience can start building powerful tools ...

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 ...

"Edge Databases" is a comprehensive, practical, and accessible guide to the world of data management at the network's edge. The book navigates the paradigm shift from centralized cloud data storage to decentralized, edge-native database systems. It is meticulously designed for students and professionals to master the principles, technologies, and best practices required to build modern, responsive, and resilient applications for the IoT, mobile, and real-time AI era. Key Features: 1. Comprehensive & Structured Coverage: From the history and evolution of databases to a complete capstone ...

"Zero Trust Architecture" is a definitive academic and practical guide to the most critical security paradigm of our time. It systematically deconstructs the traditional "castle-and-moat" security model and builds, from the ground up, a robust understanding of the Zero Trust principle: Never Trust, Always Verify. In an era defined by cloud computing, remote workforces, and the Internet of Things (IoT), the network perimeter has vanished. This book provides the essential knowledge to secure organizations where trust is no longer assumed based on location, but is continuously earned through ...

This book, "Prompt Engineering," is conceived as a foundational text for the engineers and innovators of tomorrow. For too long, the art of instructing AI has been treated as a mystical craft, a collection of tricks and tips shared in online forums. Our mission is to elevate it to its rightful place as a formal engineering discipline—one with principles, methodologies, and a structured approach to achieving predictable, reliable, and optimal results from AI models. Key Features: 1. Foundations First Approach: Begins with an intuitive explanation of LLMs, tokens, and transformers, ensuring...

This text of this book "The Transformer Architecture : AI Revolution" is structured to cater to a wide audience, from undergraduate (B.Tech) students taking their first steps into deep learning to postgraduate (M.Tech) scholars and professionals seeking to master the state-of-the-art. We start with the foundational building blocks, assuming only a basic knowledge of programming and machine learning, and progressively build up to advanced concepts like BERT, GPT, and Vision Transformers. Every chapter is a stepping stone, designed to build your confidence and competence. Key Features of This...

"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: ...

"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....