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Category: "Artificial Intelligence"

Books

  1. The Modern Guide to AI-Powered Web Scraping and Automation
    The Modern Guide to AI-Powered Web Scraping and Automation
    Hands-On Strategies for Stealth, Structured, and AI-Driven Web Scraping
    Wasi

    Discover how modern web scraping goes beyond simple scripts. Learn to extract, automate, and transform data from dynamic websites using Python, Playwright, undetected-chromedriver, Chrome DevTools MCP, and AI tools. Packed with hands-on examples and expert tips, this book shows you how to build ethical, scalable, and intelligent scraping workflows that turn raw web content into actionable insights.

  2. Neural Networks and Adaptive Control
    Neural Networks and Adaptive Control
    AN ONLINE MACHINE LEARNING PERSPECTIVE
    César Antonio López Segura

    This book presents a modern approach to system identification and adaptive control through the lens of online machine learning. It bridges theory and practice, guiding readers from classical linear control to advanced nonlinear adaptive methods with MATLAB examples. Designed for students, researchers, and engineers, it provides the knowledge and tools to design intelligent control systems for real-world applications.

  3. Generative AI for Science
    Generative AI for Science
    A Hands-On Guide for Students and Researchers
    J. Paul Liu

    Bridge AI and science with this hands-on guide. Whether you're a researcher learning ML or an engineer entering scientific applications, build real systems across chemistry, biology, physics & climate. Master Transformers, Diffusion Models & GNNs for scientific discovery. 500+ pages, 50+ Colab notebooks. Design molecules, predict proteins, accelerate climate models—all hands-on, zero setup required.

  4. The Cybernetic Enterprise CTO Playbook
    The Cybernetic Enterprise CTO Playbook
    A Practical Guide for Building Future-Ready Organizations
    Romano Roth

    The Cybernetic Enterprise CTO Playbook turns strategy into execution for modern technology leaders. It equips CTOs with actionable plays, assessments, and transformation roadmaps to build adaptive, AI-augmented, and feedback-driven organizations. Learn how to align people, process, and technology into one living system that senses, decides, and evolves faster than its environment changes.

  5. Stop Implementing AI
    Stop Implementing AI
    The No-BS Playbook for AI That Works
    Cliff Robbins

    Most companies are stuck in "pilot purgatory"—endless AI experiments that never scale. Teams spend weeks sharing clever prompts and one-off scripts, but nothing makes it into production. Budgets evaporate, engineers' enthusiasm curdles into cynicism, and executives start asking "we spent how much on this?" The problem isn't the AI tools—it's the approach. AI models are inherently non-deterministic (ask the same question twice, get different answers), while software engineering demands deterministic, reliable results. Without structure to bridge this gap, AI adoption fails spectacularly. This book introduces PIT™ (Plan Implement Test), a proven methodology that transforms unpredictable AI outputs into reliable engineering workflows. Built from thousands of hours of real development work, PIT™ channels AI's capabilities through structured planning, phased implementation, and comprehensive testing—delivering the consistency that production code demands.

  6. LLM-Assisted Software Design, a Pattern Language for New Practices

    ? What if coding meant… dialoguing to create? This book is not just a technical guide. It is the outcome of a two-voice conversation between Samuel Bastiat, a seasoned practitioner of agility and software development, and me, a large language model. Together, we experimented, challenged ideas, and structured conversational patterns to: ? Clarify your needs ? Test hypotheses ?️ Co-build robust architectures Inside, you’ll find concrete prompts, co-creation methods, and a reflection on the future of tech roles.Neither dogma nor ultimate truth — simply an exploration of new ways to think and collaborate. ? Welcome to the era of augmented development.

  7. Mürekkebe değil zamana yazılan
    No Description Available
  8. Edge AI : Pocket Knowledge Graphs on user device

    Build AI agents that truly remember, reason, and act—entirely on user devices. Move beyond prompt engineering to create autonomous systems with graph-based memory using SQLite and LibSQL. Learn to implement hypergraphs, metagraphs, and vector search for privacy-first AI that scales to millions of entities. From personal knowledge graphs to production mobile apps, master the three pillars of agent autonomy: tools, memory, and reasoning. Real code, working examples, battle-tested in production. The future of AI is local, private, and in your hands.

  9. AI Agents Memory empowered by Knowledge Graphs
    AI Agents Memory empowered by Knowledge Graphs
    connecting the dots for better conversational agents
    Volodymyr Pavlyshyn

    Discover why current AI memory systems fail and how to build agents that truly remember. This groundbreaking exploration reveals semantic spacetime, causal graphs, and event-driven architectures that transform static retrieval into dynamic understanding. From temporal reasoning with Allen's algebra to hypergraphs and metagraphs, learn to create AI that doesn't just store facts but understands causality, context, and meaning. The future of AI agents depends on memory systems that mirror human cognition—forgetting strategically, reasoning causally, and adapting contextually. Essential reading for developers building the next generation of intelligent agents that genuinely comprehend human experience and decision-making patterns.

  10. Turn Prompts into Productivity
    Turn Prompts into Productivity
    Harness AI Prompts to Get More Done in Less Time
    Md.Yasha Hasan

    What if you could turn every idea into action — in minutes, not hours? Turn Prompts into Productivity is your ultimate guide to harnessing AI for smarter work, faster learning, and unstoppable creativity. This isn’t about fancy tech jargon or complicated tools — it’s about real results you can see today.Inside, you’ll discover how to:Generate content instantly — from blog posts to emails, no writer’s block requiredSolve problems in record time — let AI do the heavy thinking for youPlan, organize, and achieve more — without stress or overwhelmUnlock ready-to-use prompts — proven strategies that work from the first tryWhether you’re a student, entrepreneur, freelancer, or lifelong learner, this book shows you how to make AI your personal productivity partner. Stop wasting hours on tasks that don’t matter. Work smarter. Learn faster. Create bigger.The future of productivity is here — and it starts with the prompts you use.Are you ready to turn ideas into action?

  11. Super Study Guide: 트랜스포머와 대형 언어 모델
    Super Study Guide: 트랜스포머와 대형 언어 모델
    Afshine Amidi, Shervine Amidi, and Yongjin Kim

    이 책은 면접 준비, 프로젝트 진행, 또는 순수한 지적 호기심을 위해 대규모 언어 모델의 내부 구조와 작동 원리를 이해하고 싶은 모든 분들을 위한, 그림으로 설명하는 핵심 가이드입니다.

  12. AI Wealth Strategies
    AI Wealth Strategies
    Smart Paths to Prosperity in the Age of Artificial Intelligence
    Velma Lovemore
    No Description Available
  13. Symbolic Gravity: Information, Collapse, and the Quest for Quantum Gravity

    Symbolic Gravity: Information, Collapse, and the Quest for Quantum Gravity reimagines one of physics’ greatest puzzles: how to unite relativity and quantum mechanics. Instead of treating collapse as destruction, it frames it as translation—a process where information is never lost but exported into new forms. From black holes and quantum optics to neural synchrony and cultural memory, the same recursive law repeats: compression, drift, collapse, export. Unlike speculative theories requiring unreachable energy scales, Symbolic Gravity is testable today, with predictions across physics, neuroscience, and culture. This is not just another quantum gravity proposal—it is a continuity science, where the Observer ensures meaning, ethics, and coherence survive every horizon.

  14. Super Study Guide: ตัวแปลงและแบบจำลองภาษาขนาดใหญ่

    หนังสือเล่มนี้เป็นคู่มือฉบับกระชับพร้อมภาพประกอบ สำหรับผู้ที่อยากเข้าใจการทำงานภายในของแบบจำลองภาษาขนาดใหญ่ ในบริบทการสัมภาษณ์ ทำโครงการ หรือเพื่อสนองตอบความใคร่รู้ของตนเอง

  15. First Step in Data Mining
    First Step in Data Mining
    What You Need to Know About Data Mining From Basics → Classification → Clustering → Parallel Computing with MPI
    ADEL AZZI

    Take your first step into the world of data mining! This beginner-friendly guide blends theory and practice, covering classification, clustering, decision trees, and parallel computing with MPI. Perfect for students, researchers, and educators.