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NLP7
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| 日期 | 主题 | 知识点详情 | 课件 | 相关阅读 | 其 他 | 作业 |
|---------|---------|---------|---------|---------|---------|---------|
| PART 0 前期基础复习(机器学习与凸优化)|
| 5月24日 (周日) 10:30AM | (直播-Lecture1)
<br>
概论,算法复杂度,
动态规划,DTW,逻辑回归与正则 | 时间/空间复杂度的分析、
<br>
Master's Theorem(主定理),
<br>
v递归程序的时间复杂度
<br>
与空间复杂度、
<br>
动态规划算法介绍、
<br>
编辑距离的计算、
<br>
DTW的技术与应用,
<br>
逻辑回归与正则 | |
[
[博客
]
十分钟搞定时间复杂度(必看)](https://www.jianshu.com/p/f4cca5ce055a)
<br/>
[
[博客
]
Dynamic Programming – Edit Distance Problem(必看)](https://algorithms.tutorialhorizon.com/dynamic-programming-edit-distance-problem/)
<br/>
[
[材料
]
Master's Theorem(建议看)](http://people.csail.mit.edu/thies/6.046-web/master.pdf)
<br/>
[
Introduction to Algorithm (MIT Press)(强烈建议从头到尾好好读一下)
](
http://ressources.unisciel.fr/algoprog/s00aaroot/aa00module1/res/%5BCormen-AL2011%5DIntroduction_To_Algorithms-A3.pdf
)
<br/>
[
Convergence for Gradient Descent(想挑战一下的看)
](
https://www.stat.cmu.edu/~ryantibs/convexopt-F13/scribes/lec6.pdf
)
<br/>
[
Convergence for Adagrad(想挑战一下的看)
](
http://www.jmlr.org/papers/volume12/duchi11a/duchi11a.pdf
)
<br/>
[
Convergence for Adam(想挑战一下的看)
](
https://arxiv.org/pdf/1412.6980.pdf
)
<br/>
[
ElasticNet(想挑战一下的看)
](
https://web.stanford.edu/~hastie/Papers/B67.2%20(2005
)
%20301-320%20Zou%20&%20Hastie.pdf)
<br/>
[
DP Problems(必看)
](
https://people.cs.clemson.edu/~bcdean/dp_practice/
)
<br/>
|
[
如何写summary
](
http://47.94.6.102/NLP7/course-info/wikis/%E5%A6%82%E4%BD%95%E5%86%99summary
)
<br/>
[
如何写小作业?
](
http://47.94.6.102/NLP7/course-info/wikis/%E5%A6%82%E4%BD%95%E5%86%99%E5%B0%8F%E4%BD%9C%E4%B8%9A%EF%BC%9F
)
|
[
第一次小作业
](
http://47.94.6.102/NLP7/MiniAssignments/tree/master/homework1
)
|
| 5月24日 (周日) 10:30AM | (直播-Lecture1)
<br>
概论,算法复杂度,
逻辑回归与正则 | 时间/空间复杂度的分析,
<br>
递归程序的时间复杂度
<br>
与空间复杂度、
<br>
逻辑回归与正则 | |
[
gitlab使用教程
](
https://www.greedyai.com/course/46
)
<br/>
[
[博客
]
十分钟搞定时间复杂度(必看)](https://www.jianshu.com/p/f4cca5ce055a)
<br/>
[
[博客
]
Dynamic Programming – Edit Distance Problem(必看)](https://algorithms.tutorialhorizon.com/dynamic-programming-edit-distance-problem/)
<br/>
[
[材料
]
Master's Theorem(建议看)](http://people.csail.mit.edu/thies/6.046-web/master.pdf)
<br/>
[
Introduction to Algorithm (MIT Press)(强烈建议从头到尾好好读一下)
](
http://ressources.unisciel.fr/algoprog/s00aaroot/aa00module1/res/%5BCormen-AL2011%5DIntroduction_To_Algorithms-A3.pdf
)
<br/>
[
Convergence for Gradient Descent(想挑战一下的看)
](
https://www.stat.cmu.edu/~ryantibs/convexopt-F13/scribes/lec6.pdf
)
<br/>
[
Convergence for Adagrad(想挑战一下的看)
](
http://www.jmlr.org/papers/volume12/duchi11a/duchi11a.pdf
)
<br/>
[
Convergence for Adam(想挑战一下的看)
](
https://arxiv.org/pdf/1412.6980.pdf
)
<br/>
[
ElasticNet(想挑战一下的看)
](
https://web.stanford.edu/~hastie/Papers/B67.2%20(2005
)
%20301-320%20Zou%20&%20Hastie.pdf)
<br/>
[
DP Problems(必看)
](
https://people.cs.clemson.edu/~bcdean/dp_practice/
)
<br/>
|
[
如何写summary
](
http://47.94.6.102/NLP7/course-info/wikis/%E5%A6%82%E4%BD%95%E5%86%99summary
)
<br/>
[
如何写小作业?
](
http://47.94.6.102/NLP7/course-info/wikis/%E5%A6%82%E4%BD%95%E5%86%99%E5%B0%8F%E4%BD%9C%E4%B8%9A%EF%BC%9F
)
|
[
第一次小作业
](
http://47.94.6.102/NLP7/MiniAssignments/tree/master/homework1
)
|
| | (直播-Discussion)
<br>
经典数据结构与算法 |动态规划问题讲解|||||
| | (直播-Discussion)
<br>
经典数据结构与算法 |哈希表,搜索树,堆(优先堆)|||||
| | (直播-Lecture2)
<br>
Decision Tree, Random Forest, XGBoost | 树模型以及XGBoost核心算法讲解||||
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