Calculus a Very Short

Stress-Free Ways to Learn about the Normal Distribution, Standard Scores, and the Bivariate Normal Distribution

The Purpose of Statistics, Writing Research Questions, Identifying Types of Variables, and Descriptive Statistics

Master AI Engineering: Build, Train, and Deploy Scalable AI Solutions with Real-World Projects and Hands-On Learning.

This book is the first volume of a three-part textbook suitable for graduate coursework, professional engineering and academic research. It is also appropriate for graduate flipped classes. Each volume is divided into short chapters. Each chapter can be covered in one teaching unit and includes exercises as well as solutions available from a dedicated website. The salient ideas can be addressed during lecture, with the rest of the content assigned as reading material. To engage the reader, the text combines examples, basic ideas, rigorous proofs, and pointers to the literature to enhance scientific literacy.

The title of the book sounds a bit mysterious. Why should anyone read this book if it presents the subject in a wrong way? What is particularly done “wrong” in the book?

How to solve step by step from easy to hard problems? How to code and solve in python? How to solve geometry problems