ai-study

Why we included this project

ai-study is a hand-curated reading list of classic machine learning and deep learning materials, assembled by an NLP practitioner who has been sharing AI study content for years. Rather than hunting across forums and video sites, a learner gets one organized map that covers ML and DL fundamentals, computer vision, NLP, speech recognition, graph neural networks, and recommender systems. Each section collects the textbooks, university lecture series, and course notes people usually reach for first when starting a new subfield, including the standard Stanford courses and well-known Chinese-language texts. A dedicated interview section with algorithm-engineering question books and coding problem collections makes it useful for anyone preparing for AI job interviews. It's a study guide rather than runnable software, so treat it as a starting point for building a reading plan, not a tool to deploy.