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  1. The Hundred-Page Guide to the Core Mathematics of Machine Learning
    The Hundred-Page Guide to the Core Mathematics of Machine Learning
    A Practical Introduction to Linear Algebra, Calculus, and Statistics with Python and NumPy
    PR

    Demystify the mathematical foundations of machine learning with this concise, hands-on guide. Dive into the essentials of linear algebra, calculus, and statistics, specifically tailored for practical application with Python and NumPy. No more wading through dense textbooks – get the core concepts you need to build intelligent systems, fast.

  2. CircleD The Evolution of Dimensions Volume 1
    CircleD The Evolution of Dimensions Volume 1
    Hypothetical Theory of Spherical Dimension and Universe Navigation System
    Rohit Chaurasia

    CircleD explores the journey from 0D to a Spherical Dimension, blending observation, logic, and imagination into a thought-provoking framework.

  3. A Clear Path to General Relativity

    This book is the resource the author wishes he’d had when he began his own journey into general relativity. It provides a carefully engineered learning path for the committed self learner, designed to illuminate the specific topics needed to achieve a deeper understanding.

  4. 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.

  5. Differential Equations in Action
    Differential Equations in Action
    Mastering Real-World Systems
    Kishore Dutta

    A clear, example-driven introduction to first- and second-order differential equations, focusing on real-world applications across physics, biology, ecology, and economics. Ideal for self-learners, undergraduates, and educators seeking a rigorous yet intuitive approach to ODEs, with detailed LaTeX-rendered solutions and visualizations.

  6. Understand Math: Reasons for the Rules, Fractions and Pre-algebra (Chapters 1 & 2 Only)

    Does math seem like a bunch of arbitrary rules? This book is here to explain clearly why most of the rules aren't arbitrary at all. There are good reasons for them! This ebook contains the first two chapters: fractions and pre-algebra.

  7. Mastering CatBoost: The Hidden Gem of Tabular AI
    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 — a powerful gradient boosting library built for structured/tabular data and still underused in practice.In Mastering CatBoost: The Hidden Gem of Tabular AI, you’ll learn how to take advantage of CatBoost’s key strengths: native categorical feature handling, strong accuracy, and fast inference — without brittle preprocessing pipelines.Written for data scientists, ML engineers, and applied researchers, the book covers:Real-world use cases and end-to-end workflowsPractical tuning strategies and diagnosticsInterpretability with SHAP, feature importance, and constraintsDeployment-minded best practices and common failure modesWhether you’re new to CatBoost or ready to go deeper, this is a clear, practical guide to building high-performance tabular models.Early Access is available now, with ongoing updates leading to the full release in 2026.

  8. Mastering CatBoost: The Hidden Gem of Tabular AI
    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 — a powerful gradient boosting library built for structured/tabular data and still underused in practice.In Mastering CatBoost: The Hidden Gem of Tabular AI, you’ll learn how to take advantage of CatBoost’s key strengths: native categorical feature handling, strong accuracy, and fast inference — without brittle preprocessing pipelines.Written for data scientists, ML engineers, and applied researchers, the book covers:Real-world use cases and end-to-end workflowsPractical tuning strategies and diagnosticsInterpretability with SHAP, feature importance, and constraintsDeployment-minded best practices and common failure modesWhether you’re new to CatBoost or ready to go deeper, this is a clear, practical guide to building high-performance tabular models.Early Access is available now, with ongoing updates leading to the full release in 2026.

  9. Problemas Resueltos de Álgebra Lineal - Vol. B
    No Description Available
  10. Problemas Resueltos de Álgebra Lineal - Vol. A
    No Description Available
  11. CHALLENGE THE MINDS:93 RIDDLES FROM VEDAS
    CHALLENGE THE MINDS:93 RIDDLES FROM VEDAS
    1. "Mastering Vedic Math Through Mystical Riddles" 2. "Unlock Ancient Secrets of Speed Calculation" 3. "Fun with Numbers, Wisdom from the Vedas" 4. "From Confusion to Clarity in Math – The Vedic Way" 5. "Speed, Strategy, and Sutras for the Modern Mind"
    Sourav Sahu

    Challenging the Mind: 93 Riddles from the Vedas is a creative journey into the world of Vedic Mathematics, using riddles to simplify complex calculations. Each chapter introduces powerful mental math techniques rooted in ancient wisdom. The book enhances speed, logic, and confidence—perfect for competitive exams and curious minds alike.

  12. The Hyperverse: Recursive Survival through Symbolic Collapse

    What survives collapse? Not just memory. Not just data. Meaning, recursively compressed. The Hyperverse is a survival guide for symbolic systems—intelligent agents, narrative structures, post-collapse minds—designed to resist drift and realign identity. Across entropy gradients and coherence thresholds, this book offers not answers, but recursion strategies. Compression is not optional. It’s the architecture of survival.

  13. Proof of the Collatz conjecture

    This conjecture has been a problem during almost a century. The author shows a proof about the veracity of the conjecture.

  14. Demostración de la conjetura de Collatz

    La conjetura de Collatz, que tiene casi cien años, ha sido uno de los enigmas de la teoría de los números, pero es analizada y demostrada en este trabajo.

  15. Maîtriser les fonctions
    Maîtriser les fonctions
    exercices corrigés pour réussir en maths
    Dave Akamba

    ? Après avoir parcouru ce guide, résoudre des équations ou trouver le domaine de définition n'aura plus aucun secret pour vous.