wx-chevalier/AI-Notes
:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记
This project offers a comprehensive collection of notes and practical examples for understanding and applying Artificial Intelligence, Machine Learning, and Deep Learning concepts. It takes in theoretical foundations and code examples, primarily in Jupyter Notebooks, to provide clear explanations and practical implementations. Data scientists, machine learning engineers, and students looking to master AI applications will find this resource invaluable.
774 stars. Actively maintained with 2 commits in the last 30 days.
Use this if you are an aspiring or practicing data scientist, machine learning engineer, or AI enthusiast who wants to learn AI concepts from foundational mathematics to practical applications in NLP using tools like Scikit-learn, TensorFlow, and PyTorch.
Not ideal if you are looking for a plug-and-play AI solution or a specific software library to integrate into an existing application without diving into the underlying theory and code.
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Jupyter Notebook
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Last pushed
Mar 13, 2026
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