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The underlying goal of "Machine Learning Simplified" is to develop strong intuition for ML inside you. We would use simple intuitive examples to explain complex concepts, algorithms or methods, as well as democratize all mathematics behind Machine Learning (ML).
After reading this book, you would understand everything that comes into the scope of Supervised Machine Learning, and would be able to not only understand nitty-gritty details of mathematics behind the scene, but also explain to anyone how things work on a high level.
My goal for this book is to help make machine learning available to as many people as possible whether technical or not. It is easily accessible for a non-technical reader, but also contains way enough mathematical detail to serve as an introduction to machine learning for a technical reader. Nevertheless, some prior knowledge of mathematics, statistics and the Python programming language is recommended to get the most out of this book