如果你正在准备算法岗面试，大概率会遇到两种尴尬：一是被问到「为什么用这个损失函数」时只能背出定义，讲不清它和优化目标的关系；二是 LeetCode 刷了几百题，面试官换个问法就卡住。这门课就是把这两块硬骨头放在一起啃——百面机器学习负责补理论问答的漏洞，LeetCode 刷题负责把代码手感练到能当场写对。
它适合哪类人，不适合哪类人
适合的是：已经学过一遍机器学习基础课，但知识点是散的，面试时被追问就露怯；或者刷题量过百，却总在中等题上翻车、写出来也说不清复杂度的人。也适合转岗过来的工程师——你有工程能力，缺的是把业务问题翻译成模型语言、把思路翻译成可运行代码的这两道转换。
不适合的是零基础。课程节奏偏面试冲刺，不会花时间从线性代数讲起。如果你还没写过一次完整的训练循环，建议先补基础再来。
机器学习部分：按「会被怎么问」来组织
这部分的价值不在于讲了多少模型，而在于把每个知识点还原成面试对话。比如讲正则化，不会停在 L1 稀疏、L2 平滑这种结论上，而是会带出「为什么 L1 能产生稀疏解」「实际调参时你怎么选」这类追问链。讲评估指标时，会落到类别不平衡场景下该看哪个指标、AUC 怎么解释。
配套的问答材料覆盖了常见的理论题面，但真正的练习方式是：看完一节，合上材料，自己用三句话把因果讲清楚，再对照哪里说漏了。这比反复读定义有效得多。
LeetCode 部分：不是按题号刷，是按模式刷
刷题最容易走偏的地方是追求数量。这门课更强调把题目归类：双指针、滑动窗口、二分边界、回溯剪枝、动态规划的几种状态定义方式。同一类题放在一起，你会看到它们的结构其实是同一个模板的变形。
练习建议是：每类先吃透两三道典型题，手写到不看提示为止，再限时做变体。写完后别急着看下一题，回头确认三件事——边界条件是否覆盖、时间复杂度说得出理由、能不能向别人复述解法。源码部分可以用来对照自己的实现差距，但要注意先自己写，再看参考。
两块内容怎么配合
机器学习面试里也常有手写代码环节，比如实现 K-means、写一个带正则的损失函数、手推反向传播。这些题既考理论理解，也考代码基本功。所以比较好的节奏是理论刷一段、代码刷一段，交替进行，而不是先全部看完机器学习再开始刷题。理论给你解释为什么，代码给你验证能不能落地，两条线互相提醒。
看完应该能回答的问题
- 给定一个具体的业务场景，你会选什么模型、用什么指标衡量、怎么判断它没 overfit？
- 面试官说「你这题时间复杂度再优化一下」，你能立刻说出瓶颈在哪、往哪个方向改？
- 一道没见过的中等题，你能在十分钟内说出思路并写出可运行的代码吗？
- 被追问某个公式的推导时，你能从假设开始一步步推到结论吗？
如果这些问题你现在答不上来，课程里的对应章节正好是缺口所在。按缺口去补，比从头到尾顺序看一遍效率高。
【深度之眼】百面机器学习+LeetCode刷题-算法面试班-第四期 - 带源码课件
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? ? 04????PDF??????
? ? 01?????
????????.pdf [2.2 MB]
??????.pdf [2.9 MB]
????????.pdf [2.9 MB]
??????.pdf [793.7 KB]
??????.pdf [2.5 MB]
? ? 03??????
? ? hmm
? ? ??????
2.HMM????????????.pdf [533.8 KB]
3.HMM????????????????.pdf [547.5 KB]
4.HMM??????????.pdf [426.8 KB]
1.HMM-????????.pdf [483.7 KB]
? ? crf
? ? ??????
CRF??????.pdf [792.6 KB]
klinger-crf-intro.pdf [916.4 KB]
? ? kmeans
k-means.pdf [1.3 MB]
? ? 04??????
? ? ????
??????????????????.pdf [2.8 MB]
????????????????????.pdf [3.0 MB]
? ? ???
BFS??DFS.pdf [2.9 MB]
??????????.pdf [2.0 MB]
???????.pdf [2.9 MB]
? ? ????
?????.pptx [16.5 MB]
? ????.pptx [16.4 MB]
???????????????.pptx [16.5 MB]
kmp.pptx [17.0 MB]
513 ???????????.pptx [16.4 MB]
????????????????.pptx [16.4 MB]
???????????????.pptx [16.4 MB]
?????????????.pptx [16.4 MB]
????.pptx [16.6 MB]
????????????????.pptx [16.4 MB]
???????????.pptx [16.3 MB]
????????.pptx [16.7 MB]
??I???.pptx [16.5 MB]
69. x ???????.pptx [16.4 MB]
? ? 02?????
? ? svm
???????cs229_smo.pdf [77.8 KB]
SVM??????.pdf [1023.7 KB]
SMO????????.pdf [556.6 KB]
? ? 05??????
? ? ??????
3. leetcode416??01?????????.pdf [954.1 KB]
2. 01????????.pdf [809.4 KB]
5. ????????????(leetcode 1143??).pdf [775.0 KB]
1. ?????????(leetcode 70??).pdf [2.8 MB]
4. ????????????(leetcode 300??).pdf [736.2 KB]
? ? ???
1. ??????(????????????????????????????).pdf [2.9 MB]
2. ?????(??????????????).pdf [3.0 MB]
? ? ??????
gbm-Freidman-1999.pdf [567.9 KB]
GBDT.pdf [3.3 MB]
xgboost.pdf [4.2 MB]
BoostedTree.pdf [1.4 MB]
xgboost paper.pdf [778.8 KB]
? ? 06??????
????.pdf [2.1 MB]
????????????????.pdf [451.6 KB]
??????AdaGrad??RMSProp??AdaDelta??Adam.pdf [747.6 KB]
?????????????????.pdf [1.3 MB]
? ? ?????????????
? ? ??????week1????????
? ? ???
iris_lr_demo.py [778.0 B]
LogisticRegression.py [3.0 KB]
LogisticRegression??.pdf [817.0 KB]
? ? ??????week1????????
? ? ???
04-Gini-Index.ipynb [17.1 KB]
01-What-is-Decision-Tree.ipynb [22.2 KB]
02-Entropy.ipynb [16.1 KB]
05-CART-and-Decision-Tree-Hyperparameters.ipynb [68.7 KB]
03-Entropy-Split-Simulation.ipynb [17.4 KB]
????????.pdf [423.1 KB]
? ? 03??????
? ? ????
????????????.pdf [374.6 KB]
logistics.py [915.0 B]
? ? hmm
? ? ??????
? ? data
199801???????.data [10.6 MB]
? ? model
hmm.model [301.2 KB]
hmm_segment.py [3.7 KB]
? ? ?????
? ? ????
??????.zip [112.2 KB]
? ? ?????????
code.zip [189.4 KB]
? ? SVM
? ? ????
03-SVM-Regressor.ipynb [3.3 KB]
01-SVM-in-scikit-learn.ipynb [70.0 KB]
02-RBF-Kernel-in-scikit-learn.ipynb [80.2 KB]
? ? ????
? ? ????
01-????????????????????????????.ipynb [226.8 KB]
1.png [25.1 KB]
02-????????????????????????.ipynb [66.6 KB]
04-Metropolis-Hastings???Beta????????.ipynb [26.7 KB]
03-????????????????.ipynb [5.5 KB]
? ? RNN??
RNN??.pdf [1.1 MB]
RNN.ipynb [27.3 KB]
? ? kmeans??
kmeans????.pdf [621.4 KB]
1.png [65.3 KB]
data.txt [610.0 B]
kmeans.ipynb [331.2 KB]
???????.png [493.5 KB]
???????.png [493.5 KB]
42.Week5?????????????????????????(leetcode1143??).mp4 [27.3 MB]
35.Week5????????????P4?????1.mp4 [20.6 MB]
45.Week5??????????????????????????????P2GRU??LSTM.mp4 [11.6 MB]
30.??????nlp?????????????????????baseline????.mp4 [108.2 MB]
22.Week3?????????????P4???????.mp4 [32.1 MB]
26.??????nlp???????????????????Baseline???.mp4 [70.2 MB]
06.Week1???????????????????P1??????.mp4 [20.3 MB]
10.Week2???????????????P3????SVM?????????????.mp4 [37.0 MB]
13.Week2???????????????P6smo??.mp4 [41.6 MB]
32.??????nlp????????????????????????????.mp4 [103.9 MB]
43.Week5?????????????????????????(leetcode300??).mp4 [24.1 MB]
30.Week4?????????????P4???????????.mp4 [24.6 MB]
11.Week2???????????????P4??????SVM.mp4 [24.5 MB]
49.Week6???????????????????????????P4????????????????.mp4 [11.7 MB]
33.??????nlp??????????????????????????????.mp4 [70.7 MB]
18.Week3??????????????????????K-means.mp4 [37.5 MB]
41.Week5?????????????leetcode416??01?????????.mp4 [36.4 MB]
34.Week5????????????P3??????????.mp4 [6.5 MB]
20.Week3?????????????P2???????????????.mp4 [51.6 MB]
47.Week6???????????????????????????P2???????????.mp4 [26.2 MB]
23.Week4????????????????????P1hmm????????????????.mp4 [27.1 MB]
04.Week1????????????????????????????????P3????????.mp4 [21.3 MB]
40.Week5?????????????01????????.mp4 [47.1 MB]
17.Week2????????????????????????PCA??LDA.mp4 [42.0 MB]
19.Week3?????????????P1????????.mp4 [59.3 MB]
27.Week4?????????????P1DFS??BFS.mp4 [34.9 MB]
12.Week2???????????????P5?????.mp4 [23.6 MB]
54.Week6??xgboost??????????????????P6???????.mp4 [11.1 MB]
31.??????nlp????????????????????baseline???????.mp4 [47.2 MB]
44.Week5??????????????????????????????P1RNN.mp4 [22.5 MB]
23.??????nlp??????????????????NLP???????????????-???????????.mp4 [33.7 MB]
29.??????nlp??????????????????????word2vec???.mp4 [73.1 MB]
15.Week2?????????????P2????????.mp4 [45.3 MB]
16.Week2?????????????P3?????.mp4 [21.9 MB]
09.Week2???????????????P2svm?????????.mp4 [16.9 MB]
07.Week1???????????????????P2??????.mp4 [24.1 MB]
48.Week6???????????????????????????P3??????????.mp4 [37.5 MB]
24.Week4????????????????????P2HMM??????????????.mp4 [39.9 MB]
14.Week2?????????????P1KMP??.mp4 [56.4 MB]
53.Week6??xgboost??????????????????P5?????????.mp4 [20.0 MB]
46.Week6???????????????????????????P1????????.mp4 [25.7 MB]
39.Week5??????????????????????(leetcode70??).mp4 [18.3 MB]
28.??????nlp???????????????tensorflow2.0????.mp4 [71.6 MB]
21.Week3?????????????P3????????????????.mp4 [22.2 MB]
29.Week4?????????????P3??????????.mp4 [25.9 MB]
26.Week4????????????????????P4crf???????.mp4 [31.3 MB]
27.??????nlp????????????????????????????????.mp4 [77.6 MB]
31.Week4?????????????P4????????????????????.mp4 [35.9 MB]
08.Week2???????????????P1????????????.mp4 [7.4 MB]
25.??????nlp????????????????????????????.mp4 [78.2 MB]
24.??????nlp??????????????????NLP???????????????-???????????????.mp4 [38.8 MB]
37.Week5???????????????????(????????????????????????????).mp4 [38.5 MB]
33.Week5????????????P2????.mp4 [14.1 MB]
32.Week5????????????P1????????????.mp4 [9.2 MB]
25.Week4????????????????????P3crf?????????????.mp4 [24.8 MB]
50.Week6??xgboost??????????????????P1xgboost??????????.mp4 [20.5 MB]
38.Week5??????????????????(??????????????).mp4 [66.3 MB]
36.Week5????????????P5?????2.mp4 [57.3 MB]
05.Week1????????????????????????????????P4????.mp4 [27.7 MB]
03.Week1????????????????????????????????P2??????.mp4 [27.0 MB]
01.????.mp4 [10.6 MB]
51.Week6??xgboost??????????????????P2????.mp4 [26.8 MB]
52.Week6??xgboost??????????????????P3????????????.mp4 [33.8 MB]
02.Week1????????????????????????????????P1????????.mp4 [29.7 MB]
28.Week4?????????????P2???????.mp4 [33.0 MB]??????
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