MLU-Explain is a website that offers visual explanations of core machine learning concepts. It's part of the Machine Learning University (MLU) education initiative from Amazon, which aims to teach machine learning theory and practice. The website provides interactive articles covering various machine learning topics, including neural networks, reinforcement learning, decision trees, and the bias-variance tradeoff. 


MLU-Explain

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. 
