@XAMTO_AI: 机器学习入门最容易被什么坑到? 要么教程全是废话,听完还是懵的;要么上来就甩代码,跑通了也不知道为啥。 GitHub上有个宝藏项目:Machine Learning Visualized,直接把算法训练过程可视化给你看,权重怎么更新、怎么…
摘要
介绍 GitHub 上的 Machine Learning Visualized 项目,该工具通过交互式笔记本和可视化图表展示机器学习算法(如神经网络、逻辑回归等)的训练过程,帮助初学者理解原理。
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机器学习入门最容易被什么坑到?
要么教程全是废话,听完还是懵的;要么上来就甩代码,跑通了也不知道为啥。
GitHub上有个宝藏项目:Machine Learning Visualized,直接把算法训练过程可视化给你看,权重怎么更新、怎么收敛,全程摊开没有遮掩。
你能拿到的东西:
神经网络/逻辑回归/感知器完整实现 从第一性原理推导,公式不跳步 交互式笔记本,参数随调随看 覆盖PCA、K-means、梯度下降 支持在线看,也能Docker本地一键部署。 https://github.com/gavinkhung/machine-learning-visualized…
gavinkhung/machine-learning-visualized
Source: https://github.com/gavinkhung/machine-learning-visualized
Machine Learning Visualized

URL: https://ml-visualized.com/
Machine Learning Visualized is a Jupyter Book containing Jupyter Notebooks that implement and mathematically derive machine learning algorithms from first-principles.
There are also Interactive Notebooks built with Marimo that allow you to see how the weights influence the loss functions.
The output of each notebook is a visualization of the machine learning algorithm throughout its training phase, ultimately converging at its optimal weights.
There is a separate Github Repository for each machine learning algorithm. Thus, this repository is simply the code to configure and build the Jupyter Book. At a very high level, Jupyter Books allow you to build a website with Markdown files and Jupyter Notebooks. Notice that none of the Jupyter Notebooks are in this repository. There is a SH script to download the relevant Jupyter Notebooks from other Github Repos. Once that is complete, the Jupyter Book can be built. The website is updated using the GitHub Action at .github/workflows/ci.yml after every commit or pull request. To build the website locally, see the Usage section below.
Jupyter Notebooks
- Neural Networks Repo
- Logistic Regression Repo
- Perceptron Repo
- Principal Component Analysis Repo
- K Means Repo
- Gradient Descent Repo
Jupyter Book Info
Table of Contents and structure of the book is specified at _toc.yml.
Configuration is specified at _config.yml.
For more information, check out the Jupyter Book Docs.
Usage
Step 1: Download the Jupyter Notebooks
chmod +x ./download_notebooks.sh
./download_notebooks.sh
Step 2: Building the Jupyter Book
Option 1: jupyter-book CLI
pip install -U jupyter-book
jupyter-book build .
Option 2: Docker Compose
docker compose run jupyter-book
docker compose down --volumes --rmi local
Option 3: Docker
docker build -f Dockerfile.book -t jupyter-book .
docker run --rm -v "$(pwd)":/usr/src/app jupyter-book
docker stop jupyter-book
docker rm jupyter-book
docker rmi jupyter-book
Step 3: Open the Jupyter Book
Navigate to _build/html/index.html
Build EPUB (NEW)
brew install --cask mactex
nbmerge $(ls chapter1/*.ipynb chapter2/*.ipynb chapter3/*.ipynb chapter4/*.ipynb | sort) -o book/combined.ipynb
jupyter nbconvert --to latex book/combined.ipynb
docker build -f Dockerfile.pandoc -t my-pandoc .
docker run --rm -v $(pwd):/data my-pandoc pandoc book/main.tex -o book/main.epub --mathml --embed-resources --standalone
Output
Marimo Interactive Notebooks

Mathematically Explained

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