DeqianBai/Hands-on-Machine-Learning
Chinese-commented Jupyter notebooks walking through the Hands-on Machine Learning textbook, covering machine learning, deep learning, and reinforcement learning.
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This repository contains study notes in Jupyter notebook format designed to help Chinese speakers quickly learn machine learning and deep learning fundamentals. It mirrors the popular Hands-on Machine Learning textbook by adding Chinese explanations alongside code examples. The material is structured in two parts: machine learning fundamentals (Part I, 8 chapters) and deep learning (Part II, 8 chapters), including reinforcement learning as the final chapter.
Frequently asked
- What is DeqianBai/Hands-on-Machine-Learning?
- Chinese-commented Jupyter notebooks walking through the Hands-on Machine Learning textbook, covering machine learning, deep learning, and reinforcement learning.
- Is Hands-on-Machine-Learning open source?
- Yes — DeqianBai/Hands-on-Machine-Learning is open source, released under the Apache-2.0 license.
- What language is Hands-on-Machine-Learning written in?
- DeqianBai/Hands-on-Machine-Learning is primarily written in Jupyter Notebook.
- How popular is Hands-on-Machine-Learning?
- DeqianBai/Hands-on-Machine-Learning has 1.5k stars on GitHub.
- Where can I find Hands-on-Machine-Learning?
- DeqianBai/Hands-on-Machine-Learning is on GitHub at https://github.com/DeqianBai/Hands-on-Machine-Learning.