The Three Phases of Learning Machine Learning | Towards Data Science

This article on Towards Data Science outlines a three-phase approach to learning machine learning, focusing specifically on the beginner phase (approximately the first year of learning). The article breaks down the beginner phase into five categories: data handling, classic machine learning, neural networks, theory, and miscellaneous skills. It provides resources for learning about each category, as well as a checklist for tracking progress. The article also discusses the transition from the beginner phase to the intermediate and advanced phases, which are covered in future articles.