AI teaching organization — course materials, lecture notebooks, and companion code for a series of artificial-intelligence courses taught from 2017 to 2023, designed and taught by Marvin Gao.
| Repository | What it is |
|---|---|
| AI_courses_jupyters_and_slides | Jupyter notebooks and slides for the AI / NLP / text-mining courses (2018–2021) |
| artificial-intelligence-fundemental-ability | AI fundamentals course (2022): from heuristic search to machine learning and deep learning |
| RL-2023-Spring | Reinforcement learning course, Spring 2023 |
| AI-and-Python-Foundation | Python and AI foundation course (2020) |
| References | Curated reading list for AI & NLP: mathematics, machine learning, algorithms, and programming |
| Source-Code-of-Pragmatic-Artificial-Intelligence-Algorithms-Based-on-Natrual-Language-Processing | Companion source code for the book Pragmatic Artificial Intelligence Algorithms: Based on Natural Language Processing（《人工智能算法与实践：基于自然语言处理》，机械工业出版社） |
Course modules cover: search and heuristics, classic machine learning, deep learning, word embeddings and language models, automatic summarization, sentiment classification, reinforcement learning, and generative AI.