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Category: "Computer Science"

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  1. Mastering Advanced Time Series Forecasting in Python: Probabilistic, Hierarchical, and Foundation Models
    Master advanced forecasting with Python using machine learning, deep learning, and cutting-edge foundational models. Learn hierarchical and probabilistic forecasting, forecastability, metrics, and scalable pipelines. Build robust, real-world forecasting systems with production-ready code and expert guidance.
    Valery Manokhin

    Mastering Advanced Time Series Forecasting in Python is the definitive sequel to the #1 forecasting bestseller. Designed for practitioners who want to go beyond ARIMA and basic ML, this book takes you deep into probabilistic forecasting, hierarchical coherence, and cutting-edge foundation models—backed by production-ready Python code. Learn how to assess forecastability, build scalable pipelines, quantify uncertainty, and deploy systems that deliver real business impact. Written by a globally recognized expert whose methods power multimillion-dollar decisions, this is the practical, honest, and advanced guide every data scientist, ML engineer, and quantitative professional needs to master modern forecasting.

  2. This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from the Software Diagnostics and Observability Institute and the Software Diagnostics Library (former Crash Dump Analysis blog) about software diagnostics, root cause analysis, debugging, crash and hang dump analysis, and software trace and log analysis written from 15 April 2024 to 14 November 2025.

  3. Adventurers of Renown™ - The Ruins of Able-Wyvern
    A Walk-Through RPG Development Tutorial.
    Stephen Gose

    Embark on an exciting journey to create your very own Multi-Player Rogue-like RPG adventure with the detailed 'Ruins of Able-Wyvern'™ template. This immersive course offers a treasure trove of step-by-step game recipes tailored for both workshop participants and instructors, compatible with either version of Construct Gaming Framework. Dive into the art of crafting this enthralling quest and unlock innovative methods that can be used in a variety of formats and themes—whether as a captivating stand-alone single-page web application (SWPA) or as an engaging 'In-Game Module' (IGM) for your epic fantasy adventures. Join us and unleash your creativity!

  4. Generative AI Made Simple
    From Fundamentals to Real-World Applications for Professionals and Students
    Roshan Rajan

    In a world buzzing with terms like ChatGPT, Midjourney, and Copilot, most people still ask one question — What exactly is Generative AI, and how do I use it in real life?“Generative AI Made Simple” is your friendly, practical guide to understanding and applying AI in your daily work and learning. Written for professionals, students, and curious minds, this book explains complex concepts in simple, storytelling language.You’ll learn:What Generative AI really is and how it differs from traditional AIHow to write powerful prompts for better AI resultsUsing AI for writing, creating presentations, images, and videosReal-world applications in business, marketing, education, and moreBuilding your personal AI-powered workflowEthics, governance, and future career trends — including Agentic AI Simple, practical, and full of examples — Generative AI Made Simple helps you stop fearing AI and start using it.

  5. 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.

  6. ? Mastering Forecasting Metrics & Accuracy: For Data Science and BeyondForecasting models are only as good as the metrics used to measure them. Yet many teams still rely on outdated or misleading measures like MAPE. This book is the first comprehensive, practitioner-friendly guide dedicated entirely to forecast evaluation metrics — blending clear theory, Python recipes, and real-world case studies.Learn how to avoid common pitfalls, measure bias, handle intermittent demand, and apply advanced metrics like MASE, RMSSE, CRPS, pinball loss, and calibration scores. Each chapter includes formulas, code, and visuals to make concepts easy to apply.Perfect for data scientists, ML engineers, analysts, researchers, and industry professionals in retail, finance, and energy. No heavy math required.? Living book: buy once, get free lifetime updates. Final price $40+.Measure what matters.Mastering Forecasting Metrics & Accuracy

  7. Document Like a Developer: Technical Writing with AI Tools
    Write Once, Scale Everywhere: The New Era of Technical Communication
    Kevin Languedoc

    Documentation isn’t just a chore—it’s a craft. And with AI tools at your side, it’s finally scalable, smart, and developer-friendly. Document Like a Developer: Technical Writing with AI Tools is your blueprint for building docs that ship with your code, evolve with your product, and speak your users’ language. Learn how to enforce style guides, automate glossary checks, run documentation sprints, and measure impact with precision. Whether you're a solo dev, a startup team, or scaling across an enterprise, this book gives you the workflows, templates, and mindset to treat documentation like a first-class citizen. Stop writing throwaway manuals. Start building living systems of clarity. The future of technical writing is here—and it’s automated, collaborative, and built for velocity.

  8. No Description Available
  9. Smart on Your Wrist: The Everyday Guide to Wearable Tech and a Healthier Life
    Unlocking the Power of Wearables for Health, Fitness, and Everyday Living”
    Dr. johnson krish
    No Description Available
  10. Probabilistic Forecasting with Conformal Prediction in Python
    The Practical Guide to Uncertainty Quantification for Data Science, Machine Learning, and Forecasting
    Valery Manokhin

    Turn uncertainty into a competitive advantage with probabilistic forecasting and Conformal Prediction.

  11. A Quick Steep Climb Up Linear Algebra
    Version 1.1.0
    Stephen Davies
    No Description Available
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  13. Building Better APIs with Laravel
    Best Practices for API development, Performance & Security
    Phenomenal Jay

    Your API deserves more than just working, it deserves to be exceptional.

  14. Unlocking the Future of Global Logistics The global supply chain is broken — plagued by inefficiencies, opaque processes, and security gaps. This book offers a bold vision for the future: a world where blockchain technology transforms supply chains into transparent, efficient, and secure ecosystems. Written by experienced consultants and academics at the intersection of blockchain and logistics, this guide bridges the gap between complex technology and real-world application. Whether you're a business leader, tech strategist, or curious innovator, this is your practical roadmap to understanding and implementing blockchain where it matters most.

  15. Applied Conformal Prediction:Practical Uncertainty Quantification for Real-World ML
    Practical Uncertainty Quantification for Real-World ML Learn Conformal Prediction (CP), the state-of-the-art technique for building statistically valid, model-agnostic prediction intervals
    Valery Manokhin

    A powerful new book on Conformal Prediction by bestselling author and machine learning expert Valery Manokhin, bridging theory and real-world machine learning. Discover how to quantify uncertainty with statistical guarantees—across deep learning, time series, forecasting, and more. Preorder now before the price goes up.