Books

Elements of Programming reimagines software as a discipline of logic, structure, and responsibility. Inspired by Euclid, it presents programming through definitions, postulates, and proofs that build a coherent view of computation. From identity and composition to semantics, type systems, and ethics, the book traces how formal reasoning shapes trustworthy systems. It argues that software is not only a technical creation but also a moral one, expressing human intention and consequence. For readers who value precision, clarity, and integrity, this treatise reveals how truth and purpose meet in code.

From curious beginners to seasoned problem solvers, this book offers a journey through captivating shapes and clever challenges. Boost your creativity and logical thinking with every page!

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.

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.

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

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

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.

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.

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.

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.

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.