机器学习面试问题汇总（不断更新）

迷南。 2022-05-15 05:00 289阅读 0赞

# **算法** #

**[leetcode 最优解，多版本解及简单思路分析][leetcode]**

**[各种基本算法c++实现(排序算法，树的遍历，链表操作）][c]**

**判断链表是否有环及相关扩展（待写）**

**[判断图是否有环][Link 1]**

**[二叉树遍历（前序、中序、后序、层次、深度优先、广度优先遍历）][Link 2]**

**[Best Time to Buy and Sell Stock I / II / III / IV / with cooldown / with Transaction Fee买卖股票6题][Best Time to Buy and Sell Stock I _ II _ III _ IV _ with cooldown _ with Transaction Fee_6]**

**[背包问题总结][Link 3]**

**[数据结构-红黑树][-]**

**[图的遍历中的树边，前向边，后向边，横叉边][Link 4]**

**[欧拉图和哈密顿图][Link 5]**

**[关于C/C++中的类型转换资料集锦][C_C]**

# **论文** #

**[深度学习中的Normalization, BN LN WN等][Normalization_ BN LN WN]**

**[什么是BN][BN]**

**[Batch Normalization的概述和应用][Batch Normalization]**

**[LSTM和RNN中的Attention机制][LSTM_RNN_Attention]**

**[注意力机制（Attention Mechanism）][Attention Mechanism]**

**[关于SE Net - Squeeze-and-Excitation Networks的原理和介绍][SE Net - Squeeze-and-Excitation Networks]**

**[关于dropout][dropout]**

**[关于 global average pooling][global average pooling]**

**[LSTM结构和公式][LSTM]**

**[Hadoop 新 MapReduce 框架 Yarn 详解][Hadoop _ MapReduce _ Yarn]**

**[全卷积网络][Link 6]**

# **机器学习基础算法** #

**常用的损失函数（待写）**

**[信息增益、信息增益率、gini、特征选择、决策树][gini]**

**[决策树系列算法][Link 7]**

**[bootstrap, boosting, bagging, stacking集成算法原理介绍][bootstrap_ boosting_ bagging_ stacking]**

**[详细的bootstrap][bootstrap]**

**[详细的GBDT][GBDT]**

**[GBDT,XGBOOST, LightGBM的对比和分析][GBDT_XGBOOST_ LightGBM]**

**[真假正负例、混淆矩阵、ROC曲线、召回率、准确率、F值、AP][ROC_F_AP]**

**[apriori算法][apriori]**

**[Apriori算法改进--FP-Tree(FP-Growth)算法][Apriori_--FP-Tree_FP-Growth]**

**[推荐算法总结][Link 8]**

**[协同过滤算法的原理和实现][Link 9]**

**[数据挖掘10大算法及详解][10]**

**[推荐系统几大开源代码][Link 10]**

**[推荐系统必读10篇精选文章][10 1]**

**[七种降维方法][Link 11]**

**[各大公司广泛使用的在线学习算法FTRL详解][FTRL]**

# **机器学习技巧经验** #

**[RNN训练中的trick][RNN_trick]**

**[DNN中的trick][DNN_trick]**

**[深度学习中的最优化方法介绍和区别][Link 12]**

**[过拟合原因和如何防止][Link 13]**

**[RNN梯度消失和爆炸及LSTM解决原理的知乎回答][RNN_LSTM]**

**[神经网络训练中的Epoch、Batch Size和迭代][Epoch_Batch Size]**

**[自然语言处理基自然语言处理基本知识][Link 14]**

**RNN怎么用到后面的信息（待写）**

# **数学理论** #

**[最大似然估计和最大后验概率及贝叶斯公示复习][Link 15]及贝叶斯公示复习**

[交叉熵损失函数][Link 16]

**[大数定律][Link 17]**

**[期望风险，经验风险和结构化风险，以及交叉验证][Link 18]**

**[对于置信区间置信度的理解][Link 19]**

[白话 P-value 这个再通俗不过了][P-value]

**[支持度和置信度][Link 20]**

**[正则化的原理][Link 21]**

# **计算机基础** #

**[关于阻塞／非阻塞／同步／异步问题][Link 22]**

**[TCP长短连接和单双工][TCP]**

**[c++中的参数传递问题][c 1]**

**[c++中运算符重载][c 2]**

**[c++中引用和指针的区别][c 3]**

**[从内存模型的角度来看C++多态实现机制和C++析构函数为什么要用虚函数][C_C 1]**

**[C++中的定义跟声明详解][C]****[C++运算符重载总结][C 1]**

**[动态链接库DLL][DLL]**

**[数组指针和指针数组的区别][Link 23]**

**[自定义类所占用的内存空间][Link 24]**

**[运行时多态和编译时多态][Link 25]**

**彩蛋[cv/dl/cl领域的实验室官网/牛人主页/技术论坛/比赛数据库/好玩的东西][cv_dl_cl]**

[leetcode]: https://github.com/WilliamZhaoz/leetcode
[c]: https://github.com/WilliamZhaoz/basicAlgorithm
[Link 1]: https://blog.csdn.net/yimingsilence/article/details/81712884
[Link 2]: https://blog.csdn.net/yimingsilence/article/details/54783208
[Best Time to Buy and Sell Stock I _ II _ III _ IV _ with cooldown _ with Transaction Fee_6]: https://blog.csdn.net/yimingsilence/article/details/79212621
[Link 3]: https://blog.csdn.net/yimingsilence/article/details/82628757
[-]: https://blog.csdn.net/yimingsilence/article/details/52638529
[Link 4]: https://blog.csdn.net/yimingsilence/article/details/81714199
[Link 5]: https://blog.csdn.net/yimingsilence/article/details/80004565
[C_C]: https://blog.csdn.net/yimingsilence/article/details/52416860
[Normalization_ BN LN WN]: https://blog.csdn.net/yimingsilence/article/details/80322926
[BN]: https://blog.csdn.net/yimingsilence/article/details/79227117
[Batch Normalization]: https://blog.csdn.net/yimingsilence/article/details/80261383
[LSTM_RNN_Attention]: https://blog.csdn.net/yimingsilence/article/details/79208750
[Attention Mechanism]: https://blog.csdn.net/yimingsilence/article/details/79208092
[SE Net - Squeeze-and-Excitation Networks]: https://blog.csdn.net/yimingsilence/article/details/79233650
[dropout]: https://blog.csdn.net/yimingsilence/article/details/79228600
[global average pooling]: https://blog.csdn.net/yimingsilence/article/details/79227668
[LSTM]: https://blog.csdn.net/yimingsilence/article/details/79045842
[Hadoop _ MapReduce _ Yarn]: https://blog.csdn.net/yimingsilence/article/details/78966412
[Link 6]: https://blog.csdn.net/yimingsilence/article/details/79208120
[gini]: https://blog.csdn.net/yimingsilence/article/details/71171771
[Link 7]: https://blog.csdn.net/yimingsilence/article/details/78114001
[bootstrap_ boosting_ bagging_ stacking]: https://blog.csdn.net/yimingsilence/article/details/82027439
[bootstrap]: https://blog.csdn.net/yimingsilence/article/details/53770784
[GBDT]: https://blog.csdn.net/yimingsilence/article/details/82504896
[GBDT_XGBOOST_ LightGBM]: https://blog.csdn.net/yimingsilence/article/details/82193890
[ROC_F_AP]: https://blog.csdn.net/yimingsilence/article/details/53769861
[apriori]: https://blog.csdn.net/yimingsilence/article/details/53172462
[Apriori_--FP-Tree_FP-Growth]: https://blog.csdn.net/yimingsilence/article/details/53176460
[Link 8]: https://blog.csdn.net/yimingsilence/article/details/54959008
[Link 9]: https://blog.csdn.net/yimingsilence/article/details/54934302
[10]: https://blog.csdn.net/yimingsilence/article/details/53164897
[Link 10]: https://blog.csdn.net/yimingsilence/article/details/55519048
[10 1]: https://blog.csdn.net/yimingsilence/article/details/55518878
[Link 11]: https://blog.csdn.net/yimingsilence/article/details/53007828
[FTRL]: https://blog.csdn.net/yimingsilence/article/details/75123026
[RNN_trick]: https://www.zhihu.com/question/57828011
[DNN_trick]: https://blog.csdn.net/yimingsilence/article/details/82190977
[Link 12]: https://blog.csdn.net/yimingsilence/article/details/79572185
[Link 13]: https://blog.csdn.net/yimingsilence/article/details/79802519
[RNN_LSTM]: https://blog.csdn.net/yimingsilence/article/details/80136741
[Epoch_Batch Size]: https://blog.csdn.net/yimingsilence/article/details/79217180
[Link 14]: https://blog.csdn.net/yimingsilence/article/details/54934516
[Link 15]: https://blog.csdn.net/yimingsilence/article/details/70613369
[Link 16]: https://blog.csdn.net/yimingsilence/article/details/52740638
[Link 17]: https://baike.baidu.com/item/%E5%A4%A7%E6%95%B0%E5%AE%9A%E5%BE%8B
[Link 18]: https://blog.csdn.net/yimingsilence/article/details/82190877
[Link 19]: https://blog.csdn.net/yimingsilence/article/details/78084810
[P-value]: https://blog.csdn.net/yimingsilence/article/details/75103296
[Link 20]: https://blog.csdn.net/yimingsilence/article/details/53164625
[Link 21]: https://blog.csdn.net/yimingsilence/article/details/82027474
[Link 22]: https://blog.csdn.net/yimingsilence/article/details/52171651
[TCP]: https://blog.csdn.net/yimingsilence/article/details/72854516
[c 1]: https://blog.csdn.net/yimingsilence/article/details/50279645
[c 2]: https://blog.csdn.net/yimingsilence/article/details/44570163
[c 3]: https://blog.csdn.net/yimingsilence/article/details/50864519
[C_C 1]: https://blog.csdn.net/yimingsilence/article/details/78656307
[C]: https://blog.csdn.net/yimingsilence/article/details/53447416
[C 1]: https://blog.csdn.net/yimingsilence/article/details/51842568
[DLL]: https://blog.csdn.net/yimingsilence/article/details/51348497
[Link 23]: https://blog.csdn.net/yimingsilence/article/details/50822470
[Link 24]: https://blog.csdn.net/yimingsilence/article/details/53447436
[Link 25]: https://blog.csdn.net/yimingsilence/article/details/78656362
[cv_dl_cl]: https://blog.csdn.net/yimingsilence/article/details/51745876