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Category: "Data Science"

Data Science

  1. Engineering AI Assistants
    Engineering AI Assistants
    The Definitive Guide for Users and Builders: Standards, Safety, and Reliability
    Nick Vyzas

    A practical field guide for using AI assistants at work—and engineering them in production. Learn the standards that prevent “sounds right, wrong” outputs: specs, grounding, tools, evals, guardrails, and cost control.

  2. Homocracy & Digital Public Infrastructure

    What if peace has never failed—only our systems have? For thousands of years, humanity has tried to govern itself through kings, empires, ideologies, and democracies—yet conflict persists. Homocracy and Digital Public Infrastructure exposes the hidden flaw shared by all traditional systems: the violation of individual free will. This book introduces Homocracy, a new model of governance where every human being is an equal shareholder, leadership is a service, and power cannot be centralized. Grounded in The Absolute Truth of Existence (TAToE) and enabled by modern Digital Public Infrastructure, Homocracy transforms governance from coercion into cooperation. Not a political manifesto. Not a utopia. A blueprint for a peaceful human civilization—engineered, not imagined.

  3. Mastering Advanced Time Series Forecasting in Python: Probabilistic, Hierarchical, and Foundation Models
    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.

  4. Memory Dump Analysis Anthology, Volume 17

    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.

  5. Production Ready Data Science
    Production Ready Data Science
    From Prototyping to Production with Python
    Khuyen Tran

    Are you a data scientist or analyst struggling to take your Jupyter Notebook prototypes to the next level? Have you encountered challenges with code organization, reproducibility, or collaboration as your data science projects grow in complexity? This book is the solution you’ve been seeking. This comprehensive guide bridges the gap between data analysis and software engineering, providing you with the essential tools and best practices to transform your data science projects into scalable, maintainable, and collaborative solutions.

  6. 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.

  7. Mastering Forecasting Metrics & Accuracy: For Data Science and Beyond

    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.Measure what matters.

  8. Applied Mathematics for the Modern World
    Applied Mathematics for the Modern World
    A Guide to the Math That Powers AI, Data Science, Finance, and Everyday Life
    PR

    This book reveals the essential mathematics powering AI, data science, and finance, making complex concepts accessible and exciting for every reader. Discover the practical applications of math that are already influencing your daily life.

  9. Clarity-Driven Development of Scientific Software
    No Description Available
  10. Probabilistic Forecasting with Conformal Prediction in Python
    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. The Crystal Ball Instruction Manual, Volume Two
    No Description Available
  12. The Crystal Ball Instruction Manual, Volume One
    No Description Available
  13. Applied Conformal Prediction:Practical Uncertainty Quantification for Real-World ML
    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.

  14. Mastering SEO: A Complete Guide to Search Engine Optimization for Success
    Mastering SEO: A Complete Guide to Search Engine Optimization for Success
    Unlock Proven Strategies to Boost Rankings, Drive Traffic, and Achieve Digital Marketing Mastery
    Dr. johnson krish

    "Mastering SEO: A Complete Guide to Search Engine Optimization for Success" is your ultimate resource for navigating the complexities of SEO. Packed with advanced strategies and practical insights, this book covers everything from on-page and off-page optimization to the latest trends and AI integration. Whether you're a beginner or an experienced digital marketer, you'll learn how to drive traffic, boost rankings, and stay ahead of the competition. Unlock the secrets of SEO success with clear, actionable advice that guarantees results. Don’t just improve your rankings—master the art of SEO!

  15. 3D Printing for Success: Engineering, Innovation, and Income
    3D Printing for Success: Engineering, Innovation, and Income
    **Unlocking Innovation and Profits through 3D Printing Technologies**
    Dr. johnson krish

    *3D Printing for Success: Engineering, Innovation, and Income* is your ultimate guide to mastering 3D printing technology and turning it into a profitable business. From understanding the basics to exploring advanced strategies, this book provides actionable insights, expert tips, and real-world examples to help you succeed in the rapidly evolving world of 3D printing. Whether you're starting a new business, optimizing your existing one, or looking for creative ways to monetize your skills, this book offers the tools and knowledge you need to innovate, create, and thrive. Unlock new income opportunities with 3D printing and take your entrepreneurial journey to the next level!