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20200519057
project2
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e2bc646f
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e2bc646f
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5 years ago
by
Wenzhe
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@@ -5,7 +5,7 @@
|---------|---------|---------|---------|---------|---------|---------|
| PART 0 前期基础复习(机器学习与凸优化)|
| 2月22日(周六) 10:00AM | (直播-Lecture)
<br>
算法复杂度,动态规划,DTW |
<br>
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>
Hamming Distance以及
<br>
Semantic Hashing |
[
课件
](
http://47.94.6.102/NLPCamp6/course-info/blob/master/%E8%AF%BE%E4%BB%B6/slide-clear%20%200222Lecture1.pptx
)
|
[
[博客
]
十分钟搞定时间复杂度](https://www.jianshu.com/p/f4cca5ce055a)
<br/>
[
[博客
]
Dynamic Programming – Edit Distance Problem](https://algorithms.tutorialhorizon.com/dynamic-programming-edit-distance-problem/)
<br/>
[
[材料
]
Master's Theorem](http://people.csail.mit.edu/thies/6.046-web/master.pdf)
<br/>
[
Introduction to Algorithm (MIT Press)
](
http://ressources.unisciel.fr/algoprog/s00aaroot/aa00module1/res/%5BCormen-AL2011%5DIntroduction_To_Algorithms-A3.pdf
)
<br/>
|||
| 2月29日(周六) 10:00AM |(直播-Lecture)
<br>
逻辑回归与正则|逻辑回归模型
<br>
,GD, SGD,Distributed SGD,
<br>
过拟合与正则,
<br>
L1,L2,
<br>
LASSO,
<br>
Ridge Regression,
<br>
Hyperparameter Tuning
<br>
(Grid Search/Heuristic Search),
<br>
ElasticNet||
[
Matrix Cookbook
](
https://www.math.uwaterloo.ca/~hwolkowi/matrixcookbook.pdf
)
<br/>
[
ElasticNet
](
https://web.stanford.edu/~hastie/Papers/elasticnet.pdf
)
<br/>
|||
| 2月29日(周六) 10:00AM |(直播-Lecture)
<br>
逻辑回归与正则|逻辑回归模型
<br>
,GD, SGD,Distributed SGD,
<br>
过拟合与正则,
<br>
L1,L2,
<br>
LASSO,
<br>
Ridge Regression,
<br>
Hyperparameter Tuning
<br>
(Grid Search/Heuristic Search),
<br>
ElasticNet||
[
Matrix Cookbook
](
https://www.math.uwaterloo.ca/~hwolkowi/matrixcookbook.pdf
)
<br/>
[
ElasticNet
](
https://web.stanford.edu/~hastie/Papers/elasticnet.pdf
)
<br/>
[
https://arxiv.org/pdf/1805.02408.pdf
](
https://arxiv.org/pdf/1805.02408.pdf
)
<br/>
[
Deep Computational Phenotyping
](
http://www-scf.usc.edu/~zche/papers/kdd2015.pdf
)
<br/>
[
Label Embedding using Hierarchical Structure of Labels for Twitter Classification
](
https://www.aclweb.org/anthology/D19-1660.pdf
)
<br/>
[
ElasticNet
](
https://web.stanford.edu/~hastie/Papers/elasticnet.pdf
)
<br/>
|||
| 3月1日 (周日) 11:00AM | (直播-Discussion)
<br>
经典数据结构与算法 |Divide and Conquer技术以及应用|||||
| 3月1日 (周日) 3:30PM | (直播-Discussion)
<br>
经典数据结构与算法 |哈希表,搜索树,堆(优先堆)|||||
| TBD | (直播-Discussion)
<br>
机器学习回顾(1) | 决策树,随机森林 |||||
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