{"id":13477858,"url":"https://github.com/kendricktan/non-overwhelming-machine-learning","last_synced_at":"2026-01-26T18:55:15.474Z","repository":{"id":87643015,"uuid":"77726267","full_name":"kendricktan/non-overwhelming-machine-learning","owner":"kendricktan","description":"A (non overwhelming) list of Machine Learning resources for beginners","archived":false,"fork":false,"pushed_at":"2017-01-01T13:08:24.000Z","size":1,"stargazers_count":627,"open_issues_count":0,"forks_count":35,"subscribers_count":22,"default_branch":"master","last_synced_at":"2024-08-01T16:51:18.175Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"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/kendricktan.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":"2016-12-31T05:11:04.000Z","updated_at":"2024-05-08T02:39:20.000Z","dependencies_parsed_at":null,"dependency_job_id":"e167cd64-896b-4785-9201-037bf0733aec","html_url":"https://github.com/kendricktan/non-overwhelming-machine-learning","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/kendricktan/non-overwhelming-machine-learning","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kendricktan%2Fnon-overwhelming-machine-learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kendricktan%2Fnon-overwhelming-machine-learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kendricktan%2Fnon-overwhelming-machine-learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kendricktan%2Fnon-overwhelming-machine-learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kendricktan","download_url":"https://codeload.github.com/kendricktan/non-overwhelming-machine-learning/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kendricktan%2Fnon-overwhelming-machine-learning/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28785172,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-26T13:55:28.044Z","status":"ssl_error","status_checked_at":"2026-01-26T13:55:26.068Z","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":[],"created_at":"2024-07-31T16:01:48.600Z","updated_at":"2026-01-26T18:55:15.459Z","avatar_url":"https://github.com/kendricktan.png","language":null,"funding_links":[],"categories":["Others","📦 Legacy \u0026 Inactive Projects"],"sub_categories":[],"readme":"# non-overwhelming-machine-learning\nA (non overwhelming) list of Machine Learning resources for beginners. \n\nSo you decide to follow the herd? Complete the list in chronological order and you'll be able to understand machine-learning in no time.\n\n*Less is more*\n\n## Assumed Knowledge\n\n### 1. [Probability](https://www.khanacademy.org/math/probability)\n\n### 2. [Multivariable Calculus](https://www.khanacademy.org/math/calculus-home/multivariable-calculus)\n\n### 3. [Optimization](https://www.khanacademy.org/math/calculus-home/derivative-applications-calc/optimization-calc/e/optimization)\n\n## Getting your feet wet\n\n### 1. [Intro to Machine Learning UD120](https://www.udacity.com/course/intro-to-machine-learning--ud120)\n\n### 2. [Deep Learning @ Udacity](https://www.udacity.com/course/deep-learning--ud730)\n\n### 3. [CS231n - Convolutional Neural Networks for Visual Recognition](http://cs231n.stanford.edu/)\n\n### 4. [CS224d - Deep Learning for Natural Language Processing](http://cs224d.stanford.edu/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkendricktan%2Fnon-overwhelming-machine-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkendricktan%2Fnon-overwhelming-machine-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkendricktan%2Fnon-overwhelming-machine-learning/lists"}