Commit 1fc143e0 by TeacherZhu

Update README.md

parent 4dd72fce
...@@ -8,10 +8,10 @@ ...@@ -8,10 +8,10 @@
| 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|[Lecture2](http://47.94.6.102/NLPCamp6/course-info/blob/master/%E8%AF%BE%E4%BB%B6/NLP60229.zip)|[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/>||| | 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|[Lecture2](http://47.94.6.102/NLPCamp6/course-info/blob/master/%E8%AF%BE%E4%BB%B6/NLP60229.zip)|[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|[课件](http://47.94.6.102/NLPCamp6/course-info/blob/master/%E8%AF%BE%E4%BB%B6/review1-divide%20and%20conquer%20-%20v2.pptx)|||| | 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|[课件](http://47.94.6.102/NLPCamp6/course-info/blob/master/%E8%AF%BE%E4%BB%B6/review1-divide%20and%20conquer%20-%20v2.pptx)||||
| 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)|[课件](http://47.94.6.102/NLPCamp6/course-info/blob/master/%E8%AF%BE%E4%BB%B6/review_1_hashtable_tree_heap.pptx)|||| | 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)|[课件](http://47.94.6.102/NLPCamp6/course-info/blob/master/%E8%AF%BE%E4%BB%B6/review_1_hashtable_tree_heap.pptx)||||
| TBD | (直播-Discussion) <br>机器学习回顾(1) | 决策树,随机森林 ||||| | 3月7日 (周六) 10:00AM | (直播-Lecture) <br>XGBoost | XGBoost核心算法讲解||||
| TBD | (直播-Paper) <br>第一篇论文讲解 |||||| | 3月8日 (周日) 11:00AM | (直播-Paper) <br>第一篇论文讲解<br>Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping ||||||
| TBD | (直播-Lecture) <br>XGBoost | XGBoost核心算法讲解|||| | 3月8日 (周日) 3:30PM | (直播-Discussion) <br>Ensemble模型实战|GBDT, XGBoost, LightGBM|||||
| TBD | (直播-Discussion) <br>Ensemble模型实战|GBDT, XGBoost, LightGBM||||| | 3月5日 (周日) 5:00PM | (直播-Discussion) <br>机器学习回顾(1) | 决策树,随机森林 |||||
| TBD | (直播-Paper)| <br>第二篇论文讲解||||| | TBD | (直播-Paper)| <br>第二篇论文讲解|||||
| TBD | (直播-Lecture) <br>凸优化(1)| 凸集, <br>凸函数、 <br>判定凸函数、 <br>LP Problem, <br>QP Problem, <br>非凸函数问题|||| | TBD | (直播-Lecture) <br>凸优化(1)| 凸集, <br>凸函数、 <br>判定凸函数、 <br>LP Problem, <br>QP Problem, <br>非凸函数问题||||
| TBD | (直播-Discussion) <br>机器学习回顾(2) | Linear SVM讲解 ||||| | TBD | (直播-Discussion) <br>机器学习回顾(2) | Linear SVM讲解 |||||
......
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment