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Book 5 - Level 5 AI Mathematics - Advanced Foundations: Information Theory, Optimization Theory, and Beyond (The AI Mathematics Ladder Building Intelligence from First Principles)
English | March 10, 2026 | ASIN: B0GS3PS6JX | 393 pages | Epub | 9.03 MB
AI Mathematics Ladder - Book 5AI Mathematics - Advanced FoundationsInformation Theory, Optimization Theory, and BeyondArtificial Intelligence is built on mathematics.But most books either stop at the basics or jump directly into complex research papers.This final volume of The AI Mathematics Ladder series bridges that gap.Book 5 - Advanced Foundations brings together the deep mathematical ideas that power modern AI systems:* Information theory and entropy-based learning* Convex and stochastic optimization* Spectral methods and representation geometry* High-dimensional probability* Statistical mechanics perspectives on learning* Scaling laws of modern AI systems* Causal inference and representation learningUnlike traditional textbooks, this book builds ideas from first principles, carefully connecting theory to modern machine learning systems.Complex topics become clear through:* intuitive explanations* geometric interpretations* practical experiments* conceptual dialogue between characters guiding the journeyBy the end of this book, readers will understand the mathematical forces shaping modern AI systems - from neural network training dynamics to the limits of learning itself.This volume is designed for:* AI researchers* data scientists* graduate students* engineers who want deeper mathematical clarityThe ladder of AI mathematics reaches its highest step here - where theory meets the frontiers of modern artificial intelligence.

Leitfaden für PC-Sicherheit: Ihr Info-Guide, um die Sicherheit Ihres Personal Computers vor bösartigen Bedrohungen zu erhöhen
Deutsch | January 21, 2018 | ISBN: 9783745085198 | 48 Seiten | EPUB (True) | 1.11 MB
Heute nutzen immer mehr Menschen ihre Computer für alles von Kommunikation über Online-Banking und Investieren bis hin zum Einkaufen. In dem wir dieses Dinge regelmäßiger tun, öffnen wir uns potenziellen Hackern, Angreifern und sonstigen Kriminellen. Während einige vielleicht Ihre persönlichen Informationen und Ihre Identität für den Weiterverkauf suchen, möchten andere einfach nur Ihren Computer als Plattform nutzen, um andere unwissende Ziele anzugreifen. In diesem E-Buch finden Sie einige einfache und kostengünstige Schritte, mit denen Sie Ihren Computer sicherer machen können.

Lebenswerk mit Zukunft: Familienunternehmen führen, entwickeln und erfolgreich übergeben
Deutsch | 12 Jan. 2026 | ASIN: B0GGBCR7JB | 444 Seiten | EPUB (True) | 4.13 MB
Familienunternehmen gestalten: Erfahrungen, die den Unterschied machenLebenswerk mit Zukunft öffnet den Blick für die Geschichten hinter erfolgreichen Übergaben und Transformationen in Familienunternehmen. Statt theoretischer Modelle erwarten Sie echte Herausforderungen, die zeigen, wie Eigentümer, Nachfolger und externe Geschäftsführer den oft steinigen Weg zwischen Tradition und Zukunft meistern.Dieses Buch ist keine Anleitung - es ist ein Erfahrungsraum. Anhand authentischer Fälle erleben Sie, wie Eigentümer emotionale Hürdenüberwinden, wie nächste Generationen ihren eigenen Weg finden und wie externe Geschäftsführer Vertrauen aufbauen und Wandel gestalten.Ihre Herausforderungen im Mittelpunkt:- Für Eigentümer: Wie Sie Ihr Lebenswerk erfolgreich übergeben und Ihre Werte langfristig bewahren.- Für Kinder und Ehepartner: Wie Sie Erwartungen managen, Ihre eigene Rolle finden und souverän auftreten.- Für externe Geschäftsführer: Wie Sie Vertrauen gewinnen, Familiendynamiken meistern und nachhaltige Erfolge erzielen.Was Sie erwartet:- Der unverstellte Blick von außen auf die emotionalen und strategischen Herausforderungen von Familienunternehmen- Bewährte Lösungen statt abstrakter Theorien - authentische Erfolge und Lernmomente- Wertvolle Impulse für Kommunikation, Führung und nachhaltige Entwicklung Eigentümer, Familienmitglieder und externe Manager, die ihr Familienunternehmen aktiv gestalten wollen, finden hier praxisnahe Unterstützung. Ob Sie mitten im Nachfolgeprozess stehen oder Ihre Zukunft frühzeitig sichern möchten - diese Erfahrungen werden Ihnen den Weg weisen.Erleben Sie, wie Mut, Weitblick und echtes Verständnis Familienunternehmen über Generationen hinweg erfolgreich machen.

Learning Cursor 2.0 Step by Step for Absolute Beginners: Build Modern Applications Using Intelligent Code Completion, Productivity Systems, And Real-World ... Programming and Prompting Guide Book 7)
English | May 14, 2026 | ASIN: B0GYWMYPLD | 584 pages | Epub | 1.53 MB
Have you been searching for a simpler way to start building modern applications without feeling overwhelmed by complicated coding tutorials? Do you want to understand how developers are now working faster, smarter, and more efficiently with AI-powered coding tools? Have you heard about Cursor 2.0 and wondered how beginners are using it to create real projects, improve productivity, and write cleaner code with confidence? If you have been looking for a practical guide that explains everything in a clear and beginner-friendly way, this book was created for you.Learning Cursor 2.0 Step by Step for Absolute Beginners is designed for curious learners, aspiring developers, freelancers, students, entrepreneurs, and anyone who wants to understand how intelligent coding environments are transforming modern software development. Instead of throwing you into confusing technical jargon, this guide walks you through the learning process in a conversational and easy-to-follow style that makes every concept feel approachable.Have you ever opened a coding editor and felt lost about where to begin? Wondered how experienced developers build applications so quickly? Curious about how AI-assisted code completion can help you reduce mistakes, save time, and become more productive? This book answers those questions while helping you build confidence one step at a time.Inside these pages, you will discover how Cursor 2.0 works, why intelligent coding systems are becoming essential for developers, and how you can use them to simplify your workflow even as a complete beginner. You will explore practical methods for writing code more efficiently, organizing projects properly, improving debugging skills, and developing smarter coding habits that can benefit you long after finishing the book.What if learning programming no longer had to feel frustrating or intimidating? What if you could follow real-world projects that help you apply your knowledge immediately instead of endlessly memorizing theory? This guide focuses on hands-on learning so you can understand how modern applications are built while gaining practical experience that feels relevant and rewarding.You will also learn how productivity systems can help you stay organized, focused, and motivated throughout your development journey. Have you struggled with unfinished tutorials or inconsistent learning habits? This book helps you create a smoother learning experience by introducing structured workflows and practical strategies that make progress feel achievable.Whether your goal is to build personal projects, start freelancing, explore software development as a career, or simply understand the future of AI-powered coding tools, this book provides a strong foundation you can build upon. Every chapter is written to help absolute beginners move forward with clarity and confidence while developing skills that reflect how modern developers actually work today.Why continue feeling stuck or uncertain when you can begin learning with a guide that speaks directly to your questions, challenges, and goals? The future of coding is evolving rapidly, and those who understand intelligent development tools will have a major advantage in the years ahead.Take the first step toward building modern applications with confidence, improving your coding productivity, and understanding the power of Cursor 2.0. Get your copy today and begin transforming the way you learn, create, and develop software.

Learn Generative AI: A Complete Guide to Understanding, Using, and Mastering Modern AI
English | 18 May 2026 | ASIN: B0H25SRK8T | 177 pages | Epub | 11.01 MB
Artificial Intelligence is no longer a technology of the future - it is transforming the world right now. From content creation and business automation to education, productivity, creativity, marketing, and entrepreneurship, Generative AI is changing how humans learn, work, create, and innovate.But most people still feel overwhelmed by AI.Which tools should you use?How does Generative AI actually work?How can AI help in real life?What are prompts, AI agents, automation systems, and AI workflows?How can students, creators, freelancers, professionals, and entrepreneurs benefit from AI responsibly and effectively?This book answers all of those questions - in a practical, simple, and modern way.Learn Generative AI is a complete beginner-to-advanced guide designed to help readers understand not just ChatGPT, but the entire modern AI ecosystem including tools like Gemini, Claude, image generation systems, automation platforms, AI agents, and future AI technologies shaping the world.Inside this book, you will discover:✔ The fundamentals of Generative AI explained in simple language✔ How modern AI models actually work✔ Prompt engineering and advanced AI communication techniques✔ AI for content creation, business, productivity, and creativity✔ AI tools for education, learning, and skill development✔ AI automation, agents, and future intelligent systems✔ Entrepreneurship and making money in the AI economy✔ Ethics, risks, bias, and responsible AI usage✔ The future of AI and its impact on civilization✔ Practical strategies to prepare yourself for the AI eraWhether you are:A student wanting to stay future-readyA professional looking to improve productivityA creator exploring AI-powered creativityAn entrepreneur building in the AI economyOr simply someone curious about the future of technologythis book will help you confidently understand and use Generative AI in the real world.Written in a clear, engaging, and practical style, this book combines modern insights, real-world applications, simplified explanations, and future-focused thinking to make AI accessible for everyone.The AI revolution has already begun.Now is the time to learn, adapt, create, and grow with it.The future belongs to those who understand AI - and know how to use it wisely.

Learn AI with Python
English | May 9, 2026 | ASIN: B0GX2V2XLK | 124 pages | Epub | 153.00 KB
Step into the exciting world of Artificial Intelligence with Python - a powerful beginner-friendly guide designed to help you master AI using Python from the ground up.Whether you are a student, aspiring developer, tech enthusiast, or future AI engineer, this book provides a clear and practical roadmap into modern Artificial Intelligence, Machine Learning, Deep Learning, NLP, and real-world AI development.Inside this book, you will learn:✅ Python Programming for AI✅ Data Science & Data Visualization✅ Machine Learning Algorithms✅ Neural Networks & Deep Learning✅ CNNs, RNNs, LSTM & NLP✅ TensorFlow, Keras & Scikit-learn✅ AI Projects & Model Deployment✅ Real-World AI Applications✅ Future Trends in Artificial IntelligenceWith easy explanations, practical examples, hands-on mini projects, and structured learning chapters, this book transforms complex AI concepts into simple, understandable lessons for beginners.From understanding the foundations of AI to building intelligent models with Python, this guide helps you develop the skills needed to explore one of the fastest-growing technologies in the modern world.If you are ready to unlock the power of Artificial Intelligence and start building the future with Python, this book is your perfect starting point.Learn Responsibly * Build Creatively * Shape the Future with AI

Read More: Learn AI with Python

Leading When Machines Think: The New Rules of Power, Strategy, and Leadership (After AI Book 1)
English | March 20, 2026 | ASIN: B0GT8KXJYH | 134 pages | Epub | 169.57 KB
Leadership is getting harder, not easier. AI can generate analysis, summarize markets, draft plans, and accelerate execution, but it cannot decide what matters, which risks are acceptable, what tradeoffs a company should make, or what kind of institution it is becoming.In Leading When Machines Think, Nolan Verran argues that as cognition becomes cheap, judgment becomes the premium leadership skill. The winners will not be the leaders who try to outthink the machine or perform certainty they no longer possess. They will be the ones who redesign decision loops, build companies that learn faster, use AI without surrendering accountability, and protect trust while change is still uncomfortable.Written for CEOs, founders, senior operators, and ambitious emerging leaders, this book offers a sharp framework for power, strategy, operating design, and human leadership in the age of machine intelligence. It is a concise, serious guide for leaders who need to move faster without becoming careless, more technical without becoming mechanistic, and more adaptive without losing moral clarity.

Large Language Models: From Foundations to Production AI Applications
English | June 11, 2026 | ASIN: B0H4XDFM5N | 685 pages | Epub | 66.49 MB
Large Language Models: From Foundations to Production AI ApplicationsLearn how to build real-world AI applications with Large Language Models-from foundational concepts to production deployment.Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, Mistral, and DeepSeek are transforming software development, business automation, search, content generation, and enterprise AI. Organizations are rapidly adopting these technologies, creating strong demand for professionals who understand how to build, deploy, and manage AI-powered solutions.This practical, hands-on guide provides a complete learning path for mastering modern LLMs and Generative AI. Rather than focusing only on theory, the book emphasizes real-world implementation, architecture patterns, best practices, and production-ready applications.What You'll LearnFoundations of AI, Machine Learning, Deep Learning, and Generative AIHow Large Language Models work, including tokenization, embeddings, attention, and transformer architecturePopular models including GPT, Claude, Gemini, Llama, Mistral, and DeepSeekPrompt engineering techniques for reliable AI applicationsRetrieval-Augmented Generation (RAG), embeddings, vector databases, and semantic searchFine-tuning with LoRA, QLoRA, PEFT, and quantizationRunning local LLMs using OllamaBuilding AI chatbots, enterprise knowledge assistants, and content-generation applicationsLLM evaluation, security, governance, and responsible AI practicesProduction deployment, monitoring, optimization, and scaling strategiesHands-On ProjectsBuild complete end-to-end AI solutions, including:AI Chatbot using modern LLM APIs and prompt engineeringEnterprise Knowledge Assistant powered by RAG and vector searchLocal AI Assistant using Ollama, local LLMs, and a custom knowledge baseSource Code IncludedCode examples, labs, and project source code are available through a dedicated GitHub repository, allowing you to follow along and build the solutions yourself.Who Should Read This Book?This book is ideal for software developers, data engineers, machine learning engineers, data scientists, cloud engineers, solution architects, technology leaders, students, educators, and AI enthusiasts who want practical skills for building AI-powered applications.Whether you're exploring Generative AI for the first time or looking to deploy production-grade AI systems, this book provides the knowledge, hands-on experience, and practical guidance needed to succeed.Master the technologies behind today's AI revolution and start building intelligent applications with Large Language Models.

LangGraph Deployment CLI for Production Workflows: Streamline AI Agent Deployment with One Command Builds, Automated Infrastructure, CI/CD Integration, and Zero DevOps Overhead
English | June 4, 2026 | ASIN: B0H3ZS2B8F | 283 pages | Epub | 5.79 MB
Are your AI agent deployments slowing you down or failing unexpectedly? Are you tired of juggling complex infrastructure, CI/CD pipelines, and endless configuration headaches just to get your workflows running in production?"LangGraph Deployment CLI for Production Workflows" is the definitive guide for engineers, developers, and DevOps professionals who want to streamline AI agent deployment with confidence, speed, and precision. This book shows you how to execute one-command builds, automate infrastructure provisioning, integrate CI/CD pipelines seamlessly, and eliminate DevOps overhead-so you can focus on results, not repetitive setup.Inside, you'll gain practical, hands-on knowledge to:Deploy multi-node LangGraph agents reliably across development, staging, and production environmentsAutomate provisioning of Postgres, Redis, and other key services for consistent, error-free workflowsOptimize CI/CD pipelines for faster, incremental deployments with automated rollbacksScale workflows efficiently while maintaining stateful and stateless agent performanceTroubleshoot common deployment failures, database issues, and versioning conflicts using proven strategiesLeverage reusable scripts, templates, and workflow architectures to save time and reduce human errorWhether you're managing a single AI agent or a multi-agent production system, this book equips you with actionable workflows, CLI commands, and industry-tested best practices to make deployments faster, safer, and fully repeatable.Take control of your production deployments today. Streamline your LangGraph workflows, eliminate bottlenecks, and deploy with confidence-grab your copy now.

Level 5 AI Mathematics - Advanced Foundations Information Theory, Optimization Theory, and Beyond

Leitfaden für PC-Sicherheit Ihr Info-Guide, um die Sicherheit Ihres Personal Computers vor bösartigen Bedrohungen zu erhöhen

Leitfaden Marketing Automation Digital neue Kunden gewinnen Vom Lead Management über Big Data zum Lifecycle Marketing

Lebenswerk mit Zukunft Familienunternehmen führen, entwickeln und erfolgreich übergeben

Learning Cursor 2.0 Step by Step for Absolute Beginners Build Modern Applications Using Intelligent Code Completion

Learn Generative AI A Complete Guide to Understanding, Using, and Mastering Modern AI

Learn AI with Python

Leading When Machines Think The New Rules of Power, Strategy, and Leadership (After AI Book 1)

Large Language Models From Foundations to Production AI Applications

LangGraph Deployment CLI for Production Workflows Streamline AI Agent Deployment with One Command Builds, Automated