Books

The Polymorph Data Language (PDL) is a versatile, compact and fast alternative to JSON, YAML, XML and CSV. PDL supports streams of fields, objects, compact objects, cyclic object graphs, tabular data, table trees, and custom instructions. PDL supports this with a syntax that is simple to tokenize and parse and which gives good performance during tokenization and parsing. PDL's custom instructions can be used to implement a whole Scheme-like programming language, should you want to.

What You Will LearnBy the end of this book, you will be able to:1.     Understand the core concepts of unsupervised learning and how it differs from supervised learning.2.     Preprocess and prepare datasets for clustering, including scaling, normalization, and handling outliers.3.     Implement popular clustering algorithms in Python, tuning parameters for optimal results.4.     Evaluate clustering performance using both internal and external metrics.5.     Apply clustering techniques to real-world problems such as customer segmentation, anomaly detection, and image grouping.6.     Work with high-dimensional data and understand techniques to reduce dimensionality while preserving patterns.7.     Use advanced clustering techniques to solve complex data grouping problems in large datasets.8.     Develop ethical awareness of privacy, bias, and fairness in AI applications. Benefits After Studying This Book For Students ·        Gain strong theoretical foundations in machine learning without supervision.·        Prepare for academic exams, assignments, and competitive exams like UGC NET, GATE, and data science interviews.·        Build portfolio-worthy projects to showcase in internships or job applications. For Job Seekers and Professionals ·        Learn industry-relevant clustering algorithms used in AI, marketing, healthcare, and cybersecurity.·        Enhance data analysis and problem-solving skills to stand out in interviews for roles such as Data Scientist, Machine Learning Engineer, or Business Analyst.·        Understand how to integrate clustering techniques into business solutions for better decision-making. For Researchers and Innovators ·        Explore cutting-edge clustering methods and hybrid models for high-dimensional and big data scenarios.·        Gain insights into current trends and future research opportunities in unsupervised learning.·        Leverage clustering techniques for research publications, AI prototypes, and academic projects.

Philosophy of the Book This book represents a belief that geometry and intelligence are inseparable. For a machine to perceive, it must understand spatial relations. For it to act, it must interpret transformations in its environment.Mathematics gives structure to this perception. Artificial Intelligence gives meaning to it.By merging the two, we create not just algorithms—but intelligent systems capable of seeing and understanding like humans.This text thus serves as both a technical manual and a philosophical guide for those who wish to explore the frontier where mathematics meets perception, and perception meets intelligence. Research and Future Directions The closing chapters introduce readers to emerging fields where geometric and AI paradigms merge:·        Neural Radiance Fields (NeRFs) for photorealistic 3D synthesis.·        Differentiable Rendering and Neural Implicit Surfaces.·        Quantum Geometry and AI-Accelerated Vision Systems.·        Ethical and explainable AI in visual modeling.These topics reflect the next stage of evolution in computer vision — where mathematical structures interact dynamically with data-driven intelligence.

Pedagogical Highlights ·        Illustrations and Diagrams: Each topic is accompanied by clear, labeled figures showing transformations, kinematic chains, and algorithmic workflows.·        Mathematical Derivations: Detailed step-by-step derivations of equations — from rotation matrices to dynamic equations of motion.·        Conceptual Summaries: Every chapter concludes with key takeaways and conceptual summaries to reinforce learning.·        Case Studies and Exercises: Includes practical assignments and research-oriented projects to inspire deeper exploration.·        Interdisciplinary Connection: Bridges the gap between mechanical design, control systems, and artificial intelligence through unified modeling. Intended Audience ·        Engineering Students — especially from Computer Science, Electronics, Mechanical, and Mechatronics backgrounds.·        MCA/M.Tech Students specializing in AI, Data Science, or Automation.·        Researchers working on intelligent control, robotics simulation, or human-robot collaboration.·        Industry Professionals seeking to understand how AI can enhance robotic modeling and performance.·        Faculty Members developing new courses or reference material in Robotics and Artificial Intelligence. Educational and Research Impact This book is not just a compilation of topics; it is a comprehensive educational framework. Each chapter is designed to act as a mini research guide, encouraging experimentation, simulation, and publication.The author’s academic experience of over 18 years brings an authentic balance of teaching methodology and research insights. Students will gain confidence in deriving equations, implementing algorithms, and developing hybrid AI-robotic systems. Future Outlook The future of robotics lies in adaptability — machines that learn from their surroundings and optimize their actions dynamically. With advances in quantum computing, neural hardware, and real-time AI systems, the mathematical models explored in this book will form the foundation for the next generation of intelligent machines.From autonomous drones to AI-driven robotic surgeons, the applications are endless, and all of them depend on the same universal principles — mathematics and intelligence.This book will help its readers not only understand these principles but also innovate upon them.

The future of robotics lies in adaptability — machines that learn from their surroundings and optimize their actions dynamically. With advances in quantum computing, neural hardware, and real-time AI systems, the mathematical models explored in this book will form the foundation for the next generation of intelligent machines.From autonomous drones to AI-driven robotic surgeons, the applications are endless, and all of them depend on the same universal principles — mathematics and intelligence.This book will help its readers not only understand these principles but also innovate upon them.

From the broken boy racing on dusty tracks to prove he mattered, to the visionary doctor who built a hospital where the poor are treated like kings—Doctor Number One is an unforgettable saga of ambition, love, and redemption.One man’s white-hot drive to be first became the force that saved thousands.A story of scalpel-sharp ambition and the grace that heals both patients and the healer himself.

«L'AI mi ha confermato X» usato come prova di X. Output che suonano brillanti ma non reggono a una rilettura severa. Una "AI policy" di tre pagine che nessuno legge. Suona familiare? "Pensare con gli LLM the Right Way" è il sistema di pensiero critico applicato agli LLM: il Triangolo del Pensare-Con (Intento / Avversario / Editore), le quattro decisioni meta di governance, le pratiche socratica e avversariale per indagare e verificare. Non prompt engineering: il metodo per non farsi rispecchiare.

Modern cybersecurity is no longer just about firewalls and antivirus. It is about architecture, governance, secure software delivery, cloud resilience, Zero Trust, AI security, and operational discipline.The Master Guide to Cyber Security brings these domains together into one practical enterprise-focused reference designed for modern security professionals, architects, engineers, and technology leaders.Built around real-world frameworks, secure-by-design principles, and current threat realities, this guide provides a structured roadmap for building secure systems in cloud-native and enterprise environments.

Learn how talking for 3 hours is like...

kozy-ovcy-korovy

What if the dreaded Lord of Death retired… and the heavens held interviews to replace him?In a cosmic HR spectacle filled with divine drama, 18 of India’s most beloved spiritual voices—from stern non-dual masters to ecstatic bhajan-singing gurus—compete for the ultimate job: becoming the new Yamraj. Expect sandalwood-scented Yamduts, yoga-practicing buffaloes, and death transformed from terror into a conscious, graceful celebration.

By diving into this book, students will:1.     Master Supervised Learning Fundamentals Gain strong conceptual understanding and practical competence.2.     Evate & Deploy Models Effectively Understand how to build, validate, interpret, and deploy high-quality models.3.     Think Critically about AI Systems Develop ethical awareness and critical reasoning regarding data bias and model behavior.

Ви п'єте мате. Знаєте, що там насправді? Три кофеїноактивні молекули, а не одна. Чотири протоколи, що дають чотири хімічно різні напої з однієї трави. Родина з п'яти кофеїновмісних рослин, яку решта світу ледь помітила. Це робочий посібник — для тих, хто стежить за хімією, називає обладнання своїми іменами, розрізняє регіони і не дозволяє маркетинговій бляшанці видавати себе за *Ilex paraguariensis*. Калабаса й бомбілья в Буенос-Айресі. Куя й бомба в Порту-Алеґрі. Гуампа й ріг в Асунсьйоні. Французький прес у Берліні. Та сама рослина — чотири протоколи, вимірювально різні напої. Якщо ви колись дивувалися, чому мате діє інакше, ніж кава; чому Аргентина п'є його гірким, а Бразилія — зеленим; що насправді означають *деспалада* і *con palo*; чому Meta Mate Viola пахне вишнею і тютюном; або що тихо будують у Місьйонесі українські родини за Kalena і Rojo Especial — ця книжка відповідає в деталях. Вісімнадцять розділів. Бренд-атлас. З джерелами. Для характерників. Без велнес-туману.

The AI revolution presents one of the most significant entrepreneurial frontiers in history. Yet, technology alone will not define the leaders of tomorrow—it will be the fusion of innovation, strategic execution, ethical responsibility, and visionary leadership.“AI-Powered Entrepreneurship: Innovate, Scale, and Lead the Future” invites you to become part of this transformation. Whether you are crafting your first business plan or steering a scaling enterprise into new AI-driven markets, the knowledge, frameworks, and tools within this book will equip you to make informed decisions, seize emerging opportunities, and contribute meaningfully to the evolving global economy.

A Sample Learning Journey with This Book Imagine a final-year MCA student who needs to select a project topic.·        After Chapter-3, they can identify a novel, research-worthy problem.·        By Chapter-5, they will know how to collect, clean, and preprocess relevant data.·        Using Chapter-6 and 8, they can implement a fair and unbiased ML model.·        Through Chapter-9 and 10, they can interpret results with statistical confidence.·        By Chapter-11, they will have the skills to write a publication-ready paper.In short, the book transforms a student project into publishable research.