{"id":22342792,"url":"https://github.com/aircloud/andrew-machine-learning","last_synced_at":"2025-04-12T15:13:23.571Z","repository":{"id":41502905,"uuid":"115729143","full_name":"aircloud/Andrew-machine-learning","owner":"aircloud","description":"The machine learning notebook for the course of Andrew Ng","archived":false,"fork":false,"pushed_at":"2018-01-14T11:24:46.000Z","size":37303,"stargazers_count":7,"open_issues_count":0,"forks_count":2,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-12T15:12:55.474Z","etag":null,"topics":["andrew-ng","andrew-ng-course","machine-learning"],"latest_commit_sha":null,"homepage":null,"language":"Matlab","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/aircloud.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}},"created_at":"2017-12-29T14:34:08.000Z","updated_at":"2022-07-03T06:53:29.000Z","dependencies_parsed_at":"2022-09-21T11:02:28.890Z","dependency_job_id":null,"html_url":"https://github.com/aircloud/Andrew-machine-learning","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aircloud%2FAndrew-machine-learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aircloud%2FAndrew-machine-learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aircloud%2FAndrew-machine-learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aircloud%2FAndrew-machine-learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/aircloud","download_url":"https://codeload.github.com/aircloud/Andrew-machine-learning/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248586244,"owners_count":21128998,"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":["andrew-ng","andrew-ng-course","machine-learning"],"created_at":"2024-12-04T08:13:43.731Z","updated_at":"2025-04-12T15:13:23.548Z","avatar_url":"https://github.com/aircloud.png","language":"Matlab","funding_links":[],"categories":[],"sub_categories":[],"readme":"## 吴恩达的机器学习课程学习笔记\n\n[吴恩达的机器学习课程](https://www.coursera.org/learn/machine-learning)是一门非常入门的机器学习课程，通过学习该课程，我们可以对机器学习相关的内容有一个更加清醒的认识，比较适合机器学习的入门者。\n\n虽然该课程的编程语言是Matlab，但是我认为课程的重点在于基础算法实践，而不在于搭建应用，所以使用Matlab是非常科学的。\n\n[charpter1\u00262](charpter1\u00262.md)    \n[charpter3](charpter3.md)  \n[charpter4](charpter4.md)   \n[charpter5](charpter5.md)  \n[charpter6](charpter6.md)  \n[charpter7](charpter7.md)  \n[charpter8](charpter8.md)  \n[charpter9](charpter9.md)  \n[charpter10](charpter10.md)  \n[charpter11](charpter11.md)\n\n## 重要的课程\n\n* [第五周-Backpropagation](https://www.coursera.org/learn/machine-learning/lecture/1z9WW/backpropagation-algorithm)\n\n## exercise\n\nexercise文件有我的作业代码，已经上传的部分都是全部通过的(除PCA一节外全都达到100分)，虽然该课程禁止代码抄袭，但是可能很多朋友的目的和我一样，并不是为了取得认证，只是为了学习、理解、增强个人技能。\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faircloud%2Fandrew-machine-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faircloud%2Fandrew-machine-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faircloud%2Fandrew-machine-learning/lists"}