Books

Stop guessing which machine learning algorithm to use. This book provides clear mathematical explanations, decision frameworks, and real-world examples to help you select, implement, and evaluate models correctly from data to deployment.

There’s a certain satisfaction in solving a differential equation by hand.You examine it, try a substitution, watch the terms rearrange

A deep dive into advanced integration techniques used in mathematical olympiads and integration competitions, with clear explanations and fully worked solutions.

The author explains about a new way to demostrate that the Goldbach's conjecture is correct.

El autor plantea una forma diferente de abordar la prueba de la conjetura fuerte de Goldbach

A rigorously structured, intuition-first calculus guide that takes learners from fundamental ideas to advanced techniques using clear explanations, visual reasoning, and complete logical continuity throughout.

A 20-page PDF summaries of Game Theory essentials, covering Nash Equilibrium, Shapley Values, and Stable Matchings.

This book presents both the fundamentals and advanced topics of finite element analysis and design optimization in a concise and pedagogically structured manner

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.

10 coloring pages✔ Large, clear numbers✔ Fun illustrations for children✔ Printable PDF format✔ Suitable for schools, mothers, and teachers

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.

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.