SmirkCao/Lihang
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
This project helps students and practitioners understand and apply statistical learning methods, particularly for classification, tagging, and unsupervised learning tasks. It provides notes, code, and supplementary materials for the book "Statistical Learning Methods" by Hang Li. The intended users are individuals studying machine learning, data science, or related fields who want to deepen their understanding of foundational algorithms.
6,293 stars. No commits in the last 6 months.
Use this if you are studying statistical learning methods and need supplementary materials, code examples, and clear explanations to grasp complex algorithms like SVMs, HMMs, or EM.
Not ideal if you are looking for a high-level overview or an advanced research toolkit, as this project focuses on foundational concepts from a specific textbook.
Stars
6,293
Forks
1,601
Language
Python
License
—
Category
Last pushed
Aug 05, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/SmirkCao/Lihang"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
harvard-edge/cs249r_book
Machine Learning Systems
datawhalechina/key-book
《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。
wx-chevalier/AI-Notes
:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics...
Ceyron/machine-learning-and-simulation
All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine...
rickiepark/handson-ml3
<핸즈온 머신러닝 3판>의 주피터 노트북 저장소