{"id":13398674,"url":"https://github.com/soulmachine/machine-learning-cheat-sheet","last_synced_at":"2026-03-19T19:44:21.285Z","repository":{"id":8381743,"uuid":"9954710","full_name":"soulmachine/machine-learning-cheat-sheet","owner":"soulmachine","description":"Classical equations and diagrams in machine learning","archived":false,"fork":false,"pushed_at":"2024-07-30T22:02:41.000Z","size":20305,"stargazers_count":7102,"open_issues_count":11,"forks_count":1229,"subscribers_count":384,"default_branch":"master","last_synced_at":"2024-07-31T19:16:43.778Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"http://soulmachine.me","language":"TeX","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/soulmachine.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2013-05-09T07:43:59.000Z","updated_at":"2024-07-31T17:19:28.000Z","dependencies_parsed_at":"2024-10-25T17:33:58.972Z","dependency_job_id":"fa0a965c-69b5-4f06-b689-42624145dfbe","html_url":"https://github.com/soulmachine/machine-learning-cheat-sheet","commit_stats":{"total_commits":73,"total_committers":12,"mean_commits":6.083333333333333,"dds":"0.23287671232876717","last_synced_commit":"a2bde597dda4c302ceef9c4a161864221b4c398c"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/soulmachine%2Fmachine-learning-cheat-sheet","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/soulmachine%2Fmachine-learning-cheat-sheet/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/soulmachine%2Fmachine-learning-cheat-sheet/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/soulmachine%2Fmachine-learning-cheat-sheet/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/soulmachine","download_url":"https://codeload.github.com/soulmachine/machine-learning-cheat-sheet/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243762232,"owners_count":20343972,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-07-30T19:00:30.404Z","updated_at":"2026-01-02T07:56:00.228Z","avatar_url":"https://github.com/soulmachine.png","language":"TeX","funding_links":[],"categories":["MACHINE LEARNING","TeX","Machine Learning","TeX (14)","其他_机器学习与深度学习","📋 Cheatsheets","🧠 AI / ML / DS Resources","Cheat Sheets","Big Data","📚 Project Purpose"],"sub_categories":["Introduction","Data Science \u0026 Machine Learning","📂 GitHub Repositories","Machine Learning (Interview-Level"],"readme":"Machine learning cheat sheet\n============================\n\nThis cheat sheet contains many classical equations and diagrams on machine learning, which will help you quickly recall knowledge and ideas on machine learning.\n\nThe cheat sheet will also appeal to someone who is preparing for a job interview related to machine learning.\n\n\n## Download PDF\n[machine-learning-cheat-sheet.pdf](https://github.com/soulmachine/machine-learning-cheat-sheet/raw/master/machine-learning-cheat-sheet.pdf) \n\n\n## How to compile\n\n    docker pull soulmachine/texlive\n    docker run -it --rm -v $(pwd):/data -w /data soulmachine/texlive xelatex -synctex=1 --enable-write18 -interaction=nonstopmode machine-learning-cheat-sheet.tex\n\n\n## LaTeX template\nThis open-source book adopts the [Springer latex template](http://www.springer.com/authors/book+authors?SGWID=0-154102-12-970131-0).\n\n\n## How to compile on Windows\n1. Install [Tex Live 2014](http://www.tug.org/texlive/), then add its `bin` path for example `D:\\texlive\\2012\\bin\\win32` to he PATH environment variable.\n2. Install [TeXstudio](http://texstudio.sourceforge.net/).\n3. Configure TeXstudio.  \n    Run TeXstudio, click `Options--\u003eConfigure Texstudio--\u003eCommands`, set `XeLaTex` to `xelatex -synctex=1 -interaction=nonstopmode %.tex`.\n    \n    Click `Options--\u003eConfigure Texstudio--\u003eBuild`,   \n    set `Build \u0026 View` to `Compile \u0026 View`,  \n    set `Default Compiler` to `XeLaTex`,  \n    set `PDF Viewer` to `Internal PDF Viewer(windowed)`, so that when previewing it will pop up a standalone window, which will be convenient.\n4. Compile. Use Open `machine-learning-cheat-sheet.tex` with TeXstudio，click the green arrow on the menu bar, then it will start to compile.  \n    In the messages window below we can see the compilation command that TeXstudio is using is `xelatex -synctex=1 --enable-write18 -interaction=nonstopmode \"machine-learning-cheat-sheet\".tex`\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsoulmachine%2Fmachine-learning-cheat-sheet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsoulmachine%2Fmachine-learning-cheat-sheet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsoulmachine%2Fmachine-learning-cheat-sheet/lists"}