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LinkedIn sde ml track新鲜面经顺带ml track面经总结

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yeyelovenimo 发表于 2016-10-25 03:35:53 | 显示全部楼层 |阅读模式

2016(10-12月) 码农类 博士 实习@Linkedin - 猎头 - 技术电面 |Other其他

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半小时前刚面完,求过啊. From 1point 3acres bbs
先自我介绍,接下来是半小时的ml questions,问了大概有logistic regression, decision tree, random forest, k means, feature selection(exploratory data analysis, l1 regularization, dimension reduction such as PCA), cross validation, overfiiting(l2 regularization)。然后让楼主挑一个ml model详细说说,挑了logistic regression,objective function + numerical methods to solve (gradient descent, stochastic gradient descent, newton method)。总体感觉都是ml basic questions,复习一下ml + 刷一下面经基本就没什么问题了。接下来是coding questions,lc原题Integer to Roman。

顺便总结一下地里LinkedIn sde ml track 2015 & 2016年度的面经, 楼主都是人肉爬的, 求加大米

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niyikai 发表于 2016-11-15 12:35:27 | 显示全部楼层
感谢楼主的分享
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