{"id":13562655,"url":"https://github.com/afshinea/stanford-cs-229-machine-learning","last_synced_at":"2026-01-26T21:50:25.481Z","repository":{"id":37405626,"uuid":"143568533","full_name":"afshinea/stanford-cs-229-machine-learning","owner":"afshinea","description":"VIP cheatsheets for Stanford's CS 229 Machine Learning","archived":false,"fork":false,"pushed_at":"2020-05-20T04:57:25.000Z","size":38339,"stargazers_count":17985,"open_issues_count":19,"forks_count":3999,"subscribers_count":714,"default_branch":"master","last_synced_at":"2025-03-10T18:52:35.581Z","etag":null,"topics":["cheatsheet","cs229","data-science","deep-learning","machine-learning","ml-cheatsheet","supervised-learning","unsupervised-learning"],"latest_commit_sha":null,"homepage":"https://stanford.edu/~shervine/teaching/cs-229","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/afshinea.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2018-08-04T23:01:00.000Z","updated_at":"2025-03-10T12:21:20.000Z","dependencies_parsed_at":"2022-07-10T15:47:43.913Z","dependency_job_id":null,"html_url":"https://github.com/afshinea/stanford-cs-229-machine-learning","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/afshinea/stanford-cs-229-machine-learning","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/afshinea%2Fstanford-cs-229-machine-learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/afshinea%2Fstanford-cs-229-machine-learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/afshinea%2Fstanford-cs-229-machine-learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/afshinea%2Fstanford-cs-229-machine-learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/afshinea","download_url":"https://codeload.github.com/afshinea/stanford-cs-229-machine-learning/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/afshinea%2Fstanford-cs-229-machine-learning/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28789103,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-26T21:49:50.245Z","status":"ssl_error","status_checked_at":"2026-01-26T21:48:29.455Z","response_time":59,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["cheatsheet","cs229","data-science","deep-learning","machine-learning","ml-cheatsheet","supervised-learning","unsupervised-learning"],"created_at":"2024-08-01T13:01:10.810Z","updated_at":"2026-01-26T21:50:25.465Z","avatar_url":"https://github.com/afshinea.png","language":null,"funding_links":[],"categories":["Others","Courses","A01_机器学习教程","Repos","Machine Learning","人工智能","Other courses","Research \u0026 Data Analysis","📚 Project Purpose"],"sub_categories":["🔍 **Quick Access**","学习资料","Take my tips with a grain of salt","Machine Learning (Entry-Level)"],"readme":"# Machine Learning cheatsheets for Stanford's CS 229\n\nAvailable in [العربية](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/ar) -  [English](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/en) -  [Español](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/es) -  [فارسی](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fa) -  [Français](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fr) -  [한국어](https://stanford.edu/~shervine/l/ko/teaching/cs-229/cheatsheet-machine-learning-tips-and-tricks) -  [Português](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/pt) -  [Türkçe](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/tr) - [Tiếng Việt](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/vi) -  [简中](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh) -  [繁中](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh-tw)\n\n## Goal\nThis repository aims at summing up in the same place all the important notions that are covered in Stanford's CS 229 Machine Learning course, and include:\n- **Refreshers** in related topics that highlight the key points of the **prerequisites of the course**.\n- **Cheatsheets for each machine learning field**, as well as another dedicated to tips and tricks to have in mind when training a model.\n- All elements of the above combined in an **ultimate compilation of concepts**, to have with you at all times!\n\n## Content\n#### VIP Cheatsheets\n|\u003ca href=\"https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-supervised-learning.pdf\"\u003e\u003cimg src=\"https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-001.png?\" alt=\"Illustration\" width=\"220px\"/\u003e\u003c/a\u003e|\u003ca href=\"https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-unsupervised-learning.pdf\"\u003e\u003cimg src=\"https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-002.png\" alt=\"Illustration\" width=\"220px\"/\u003e\u003c/a\u003e|\u003ca href=\"https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-deep-learning.pdf\"\u003e\u003cimg src=\"https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-003.png\" alt=\"Illustration\" width=\"220px\"/\u003e\u003c/a\u003e|\u003ca href=\"https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-machine-learning-tips-and-tricks.pdf\"\u003e\u003cimg src=\"https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-004.png\" alt=\"Illustration\" width=\"220px\"/\u003e\u003c/a\u003e|\n|:--:|:--:|:--:|:--:|\n|Supervised Learning|Unsupervised Learning|Deep Learning|Tips and tricks|\n\n#### VIP Refreshers\n|\u003ca href=\"https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-probabilities-statistics.pdf\"\u003e\u003cimg src=\"https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-005.png\" alt=\"Illustration\" width=\"220px\"/\u003e\u003c/a\u003e|\u003ca href=\"https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-algebra-calculus.pdf\"\u003e\u003cimg src=\"https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-006.png#1\" alt=\"Illustration\" width=\"220px\"/\u003e\u003c/a\u003e|\n|:--:|:--:|\n|Probabilities and Statistics|Algebra and Calculus|\n\n\n#### Super VIP Cheatsheet\n|\u003ca href=\"https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/super-cheatsheet-machine-learning.pdf\"\u003e\u003cimg src=\"https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-007.png\" alt=\"Illustration\" width=\"400px\"/\u003e\u003c/a\u003e|\n|:--:|\n|All the above gathered in one place|\n\n## Website\nThis material is also available on a dedicated [website](https://stanford.edu/~shervine/teaching/cs-229), so that you can enjoy reading it from any device.\n\n## Translation\nWould you like to see these cheatsheets in your native language? You can help us translating them on [this dedicated repo](https://github.com/shervinea/cheatsheet-translation)!\n\n## Authors\n[Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, MIT) and [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Stanford University)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fafshinea%2Fstanford-cs-229-machine-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fafshinea%2Fstanford-cs-229-machine-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fafshinea%2Fstanford-cs-229-machine-learning/lists"}