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View Code? Open in Web Editor NEWAI算法岗求职攻略(涵盖准备攻略、刷题指南、内推和AI公司清单等资料)
AI算法岗求职攻略(涵盖准备攻略、刷题指南、内推和AI公司清单等资料)
Q&A页面中8.107介绍反向传播的第二个链接失效
您好,因为个人感觉刷题的时候,对常见的堆栈、队列、哈希表这些更侧重应用。对一些基础或者更高级的概念,比如关键字、数据结构空间占用与地址开销甚至一些编译过程与原理,个人是比较薄弱的,有必要专门去复习吗?
我想问一下,哪些地方可以刷ai的题(数学题和面试经常问的题)比如深度学习,传统机器学习,计算机视觉等方面的,编程题我知道有Leetcode ,还有剑指offer
RT,这里的准备内容只提到算法数据结构,感觉和普通程序员的招聘一样,实际企业在招聘AI机械学习的岗位时,是只考察这些内容吗? 或者说AI方面完全由在校期间的科研成果决定,准备了也没有用的意思吗?
童心制物Makeblock社招内推码: EC7242R
投递链接: https://makeblock.jobs.feishu.cn/s/iFCcpLM4 欢迎投递
公司介绍文章(微信)
https://mp.weixin.qq.com/s/a8kGPHyj78HxWWNXmtCL3w
是因为日常使用python,然后将C++作为加分项吗?
还是因为别的什么原因呢?
数学本科毕业(UCLA), 目前在日本就读另一个本科(设计系),在日本小公司做视觉识别实习(Resnet),自己喜欢研究强化学习(参见我自己的github小项目)。不知道该怎么准备求职。该怎么定位?
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