This document provides a literature review on machine learning, discussing its types and methods. It explores supervised, unsupervised, and reinforcement learning, along with their applications in real-life work. The document also covers machine learning taxonomies and algorithms, highlighting their success in various fields. References to relevant books and journals are provided as well.