{"id":13681770,"url":"https://github.com/datawhalechina/Daily-interview","last_synced_at":"2025-04-30T06:32:23.146Z","repository":{"id":38354181,"uuid":"183159487","full_name":"datawhalechina/daily-interview","owner":"datawhalechina","description":"Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star","archived":false,"fork":false,"pushed_at":"2024-04-06T12:28:09.000Z","size":16291,"stargazers_count":2560,"open_issues_count":3,"forks_count":425,"subscribers_count":49,"default_branch":"master","last_synced_at":"2024-10-23T03:59:51.559Z","etag":null,"topics":["cv","interview-questions","machine-learning","nlp"],"latest_commit_sha":null,"homepage":"","language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/datawhalechina.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-04-24T06:07:56.000Z","updated_at":"2024-10-22T08:19:02.000Z","dependencies_parsed_at":"2024-08-02T13:21:04.264Z","dependency_job_id":"9b96c435-aa4c-4b45-ab60-3424bc80a886","html_url":"https://github.com/datawhalechina/daily-interview","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/datawhalechina%2Fdaily-interview","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datawhalechina%2Fdaily-interview/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datawhalechina%2Fdaily-interview/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datawhalechina%2Fdaily-interview/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/datawhalechina","download_url":"https://codeload.github.com/datawhalechina/daily-interview/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":224201727,"owners_count":17272630,"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":["cv","interview-questions","machine-learning","nlp"],"created_at":"2024-08-02T13:01:35.560Z","updated_at":"2025-04-30T06:32:23.134Z","avatar_url":"https://github.com/datawhalechina.png","language":"HTML","funding_links":[],"categories":["Others","Algorithm Interview"],"sub_categories":["1. Github"],"readme":"# Daily Interview\n\n## 背景\n\n牛客网，知乎等众多网站上包含了数以百万计的面经，但往往大而散，面试者在准备面试时候去翻阅不但浪费时间，翻阅材料越多，越觉得自己很多知识点都没有掌握，造成心理上极大的压力，导致面试中不能发挥正常水平甚至面试失败。\n其实，每一位求职者都应该有自己的一份面试笔记，记录笔试中常涉及到的知识点和项目中常被问到的问题。每次面试之前看一遍，做到举一反三，融会贯通，熟捻于心，方能在每次面试中汲取经验，最后从容应对。我个人就有自己的面试笔记，每次面试之前都会翻一遍，边看边想，但求好运。\n\n## 宗旨\n不需要大而全，涵盖所有内容，因为知识在不断更新迭代，我们也做不到涵盖所有。\n不提供查漏补缺，因为每个人的短板不尽相同，需要面试者根据自己知识体系，多加思考，自己完善。\n这是一份每一个面试者面试之前必看一遍的小面经。面试之前的半天时间，温故而知新。\n\n## 内容\n\n\u003cdiv align=center\u003e\n\u003cimg src=\"https://github.com/datawhalechina/daily-interview/blob/master/content.png\" width=\"400px\"\u003e\n\u003c/div\u003e\n\n\n## 使用指南\n\n1. 目前大部分成员是做AI算法，所以主要精力在AI算法一块。若有对开发感兴趣的人员参与整理，十分欢迎。\n\n2. 数据结构与算法本来属于计算机基础一部分，但是因为不管面试算法岗还是开发岗，都会问到，所以单独提出来。\n\n3. 算法岗：重点是AI算法、数据结构与算法；了解数学、计算机基础。\n\n   开发岗：重点是开发、数据结构与算法、计算机基础。\n\n以面试岗位为梳理主线，整理面试之前必看的面试题目，给出高频的面试知识点和面试题。\n\n\n## 招募\n\n如果你也喜欢这个项目，想参与到面经项目中来，可以与我们联系 E-mail:xiongweinie@foxmail.com\n\n## 关注我们\n\u003cdiv align=center\u003e\n\u003cp\u003e扫描下方二维码关注公众号：Datawhale\u003c/p\u003e\n\u003cimg src=\"https://raw.githubusercontent.com/datawhalechina/pumpkin-book/master/res/qrcode.jpeg\" width = \"180\" height = \"180\"\u003e\n\u003c/div\u003e\n\n## LICENSE\n\u003ca rel=\"license\" href=\"http://creativecommons.org/licenses/by-nc-sa/4.0/\"\u003e\u003cimg alt=\"知识共享许可协议\" style=\"border-width:0\" src=\"https://img.shields.io/badge/license-CC%20BY--NC--SA%204.0-lightgrey\" /\u003e\u003c/a\u003e\u003cbr /\u003e本作品采用\u003ca rel=\"license\" href=\"http://creativecommons.org/licenses/by-nc-sa/4.0/\"\u003e知识共享署名-非商业性使用-相同方式共享 4.0 国际许可协议\u003c/a\u003e进行许可。\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatawhalechina%2FDaily-interview","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdatawhalechina%2FDaily-interview","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatawhalechina%2FDaily-interview/lists"}