Mathematics

Know Your Numbers gives founders the clarity to see what is really happening behind revenue, growth, and momentum. When you understand CAC, conversion, gross margin, churn, payback, runway, and cash burn, you stop guessing and start deciding like an owner.

What if mathematics trained the mind instead of the hand? 1001 Problems for Mental Calculation is the first complete English translation of Sergey Rachinsky’s classic, a remarkable collection of problems designed to build number sense, mental discipline, and real mathematical thinking.

The most successful algebra textbook in history — now in English for the first time.

Schluss mit Mathe-Frust: In 56 Tagen zum selbstbewussten Kopfrechen-Profi!Kennst du das auch? Bei jeder kleinen Rechenaufgabe im Alltag wandert der Blick sofort zum Smartphone. Doch spätestens in der Klassenarbeit – wenn der Taschenrechner im Rucksack bleiben muss – bricht oft Stress aus. Der hilfsmittelfreie Teil sorgt bei vielen Schülern für Blockaden und Frust.Das muss nicht sein! Mathe darf leicht sein – wenn man die richtigen Abkürzungen kennt.

A novel mathematical framework turns the ancient Chinese concept of 势 (shì) into computable mechanics — and reveals why being right on average can still get you killed. From financial squeezes to marriage, from career deadlocks to raising children, 势学 changes how you see every strategic problem.

Master the future of technology with this definitive guide to Modern Data Science. Unlock actionable insights through Analytics, Machine Learning, and Big Data strategies. Perfect for beginners and pros wanting a logic-first approach to data-driven decision making.

Learn linear algebra by doing itfrom vector to neural networks

Master machine learning algorithms through worked examples and hands-on practice problems. From logistic regression to neural networks, this companion exercise book provides step-by-step solutions and progressive difficulty levels to build deep understanding.

I am a programmer who knows clever tricksI convert integers to bases two to thirty sixBy using character arrays as stringsI can show you amazing math things While others talk about politics and sportsI read about computers of all sortsProgramming languages are all the sameWhen you see arithmetic as a game I don’t write code for a job to be paidBut to understand the video games I playedTo see what works and find out whyTo create, use, study, share, and modify

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.

Most people think they are bad at math. In reality, they were never taught arithmetic properly.This book is a modern English edition of Arithmetic by Alexander P. Kiselev—the text that formed the backbone of mathematical education in Russia and USSR for over a century and helped produce generations of exceptionally strong mathematicians, scientists, and engineers.Unlike modern textbooks that prioritise shortcuts, visuals, and lowered expectations, Kiselev builds arithmetic logically, systematically, and rigorously. Every method is explained. Every operation has meaning. Exercises are carefully sequenced to develop real understanding—not rote pattern-following.This book does not promise “easy math”. It promises something better: clarity, confidence, and competence.Whether you are a student, a parent, a tutor, or an adult rebuilding fundamentals, this book will change how you understand arithmetic—and why so much later mathematics suddenly becomes easier.

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