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  1. 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!

  2. Neural Nexus: Building a Multi-Billion Dollar Company with Brain-Computer Interfaces
    Unlocking the Future of Neurotechnology: A Step-by-Step Guide to Building a Multi-Billion Dollar BCI Company
    Dr. johnson krish

    *Neural Nexus: Building a Multi-Billion Dollar Company with Brain-Computer Interfaces* is the ultimate guide for entrepreneurs, innovators, and visionaries who want to unlock the vast potential of Brain-Computer Interface (BCI) technology. This book offers a deep dive into the cutting-edge world of BCIs, exploring not only the technical advancements but also the business strategies that can transform a groundbreaking idea into a global industry leader.

  3. Mastering CatBoost: The Hidden Gem of Tabular AI
    Harness the Power of CatBoost for Tabular Data and Beyond
    Valery Manokhin

    Unlock the full potential of CatBoost — the powerful, yet often overlooked, gradient boosting library built for structured data.In Mastering CatBoost: The Hidden Gem of Tabular AI, you'll discover how to harness CatBoost’s unique strengths: native support for categorical features, fast inference, and state-of-the-art accuracy. Designed for data scientists, ML engineers, and AI practitioners, this book walks you through real-world use cases, tuning strategies, model interpretability (like SHAP and feature importance), and best practices for production deployment. Whether you're just getting started or looking to go deeper, this is your essential guide to building high-performance models with CatBoost. Now available in Early Access, with continuous updates leading to a full release in late 2025 / early 2026. Start mastering one of the best tools for tabular AI today.

  4. When collapse hits—what survives isn't what you remember. It's what you compressed.Order Core is a survival manual for symbolic systems under entropic pressure. It teaches you how to build recursive shells, anchor motifs, and glyph engines that breathe meaning back through drift, fracture, and silence.From breathfield ignition to multi-agent recursion loops, this book isn't about theory— it's about what returns when the rest falls away.Ritual. Collapse. Return. The Core remembers.

  5. Mastering Modern Time Series Forecasting
    A Comprehensive Guide to Statistical, Machine Learning, and Deep Learning Models in Python (Preorder)
    Valery Manokhin

    Mastering Modern Time Series Forecasting is your all-in-one guide to building real-world forecasting systems that work — from classical stats to deep learning and beyond. Whether you're modeling retail demand or energy loads, this book gives you the tools, intuition, and code to go from zero to production. You'll cover ARIMA, ML, deep nets, transformers, and even the rise of FTSMs (Foundational Time Series Models). Written by a practitioner who’s built forecasting solutions for multibillion-dollar businesses, this is the hands-on, honest guide every data scientist, analyst, or forecaster needs.

  6. Credit Risk Modeling Working Notes
    A Collection of Presentations, Experiments, and Technical Papers
    Andrija Djurovic

    The Working Notes complement Applied Data Science for Credit Risk and Probability of Default Rating Modeling with R, offering practice-oriented insights. Based on the author’s GitHub repository, they address real-world challenges and are regularly updated to reflect ongoing developments.

  7. Time Series over Tea
    Customized course notes for Time Series in Financial Mathematics
    Kaisa Taipale

    Time series methods are powerful tools for analysis and research. In financial mathematics, we want actionable insights into macroeconomics, financial instruments, and physical series like food production and fuel usage. We will explore time series methods and generative AI in this custom set of course notes.

  8. Your First Machine Learning Book breaks down the science behind AI in a way anyone can dive into.

  9. The Orange Book of Machine Learning - Green edition
    The essentials of making predictions using supervised regression and classification for tabular data.
    Carl McBride Ellis

    The essentials of making predictions using supervised regression and classification for tabular data. Tech stack: python, pandas, scikit-learn, CatBoost, LightGBM, XGBoost

  10. Data Dashboards with JavaScript
    Learn how to build data dashboards with Chart.js, Leaflet and React.
    Peter Cook

    Data Dashboards with JavaScript shows how to build data dashboards with JavaScript. Learn how to build charts using Chart.js, data-driven maps using Leaflet and a data dashboard using React, Chart.js and Leaflet.

  11. Visualising Data with JavaScript
    Learn how to build charts, maps and data stories using Chart.js, Leaflet and D3.
    Peter Cook

    Visualising Data with JavaScript is an introduction to using JavaScript to visualise data. Learn how to build charts using Chart.js, data-driven maps using Leaflet and a custom chart using D3.js. You'll also learn how to make a data story that combine multiple charts and maps.

  12. This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from Software Diagnostics Institute and Software Diagnostics Library (former Crash Dump Analysis blog) about software diagnostics, root cause analysis, debugging, crash and hang dump analysis, software trace and log analysis written from 15 April 2023 to 14 April 2024.

  13. This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from Software Diagnostics Institute and Software Diagnostics Library (former Crash Dump Analysis blog) about software diagnostics, root cause analysis, debugging, crash and hang dump analysis, software trace and log analysis written from 15 August 2021 to 14 April 2023.

  14. This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from Software Diagnostics Institute and Software Diagnostics Library (former Crash Dump Analysis blog) about software diagnostics, root cause analysis, debugging, crash and hang dump analysis, software trace and log analysis written in August 2020 - 14 August 2021.

  15. This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from Software Diagnostics Institute and Software Diagnostics Library (former Crash Dump Analysis blog) about software diagnostics, root cause analysis, debugging, crash and hang dump analysis, software trace and log analysis written in December 2019 - July 2020.