metamath1/noviceml
도서 머신러닝·딥러닝에 필요한 기초 수학 with 파이썬의 예제 코드와 그래프 그리는 코드 및 웹앱 저장소
This project provides example code and web applications for understanding the fundamental mathematics behind machine learning and deep learning. It takes mathematical concepts and equations as input, and outputs visual graphs and interactive web demonstrations. It's designed for students, self-learners, or professionals who are building their foundational knowledge in machine learning.
Use this if you are studying the mathematical principles of machine learning and want to see how they translate into practical code and visual examples.
Not ideal if you are looking for a pre-built machine learning model for a specific business problem or a production-ready solution.
Stars
43
Forks
25
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 23, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/metamath1/noviceml"
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