This repository is a Jupyter Book titled 'Learning Machine', providing concise, intuitive explanations of machine learning and deep learning concepts. It is organized into sections covering basics, common tasks, layers, generative models, reinforcement learning, and more. The content is primarily textual with illustrative code snippets using numpy, scipy, and PyTorch. No real datasets are used; all examples are synthetic. The book is designed as a quick-reference handbook for learners, accompanying a university course. The repository is effectively archived by the author, with no planned updates.