Relph1119 / Statistical Learning Method Camp
统计学习方法训练营课程作业及答案,视频笔记在线阅读地址:https://relph1119.github.io/statistical-learning-method-camp
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《统计学习方法》训练营
课程资料
- ApacheCN
- 廖雪峰 Python3 教程
- 优秀github资源:
- 本训练营的学习安排与课程任务:详见文件夹Books中的《统计学习方法作业》doc文档
视频笔记在线阅读地址
视频笔记在线阅读地址:https://relph1119.github.io/statistical-learning-method-camp
相关资料下载地址(包括视频笔记和习题解答)
链接:https://pan.baidu.com/s/1TrUW79J06HzVRoqOebLg9w
提取码:tc49
课程安排(第四期)
总课时:5 周
第一周
- 1 学习第1章统计学习方法概论
- 2 学习第2章感知机
- 3 学习第3章k近邻
第二周
- 4 学习第4章朴素贝叶斯法
- 5 学习第5章决策树
第三周
- 6 学习第6章Logistic回归与最大熵模
- 7 学习第7章支持向量机
第四周
- 8 学习第8章提升方法
- 9 学习第9章EM算法及推广
第五周
- 10 学习第10章隐马尔科夫模型
- 11 学习第11章条件随机场
项目结构
Books--------------------------------------作业汇总和视频笔记的pdf docs---------------------------------------视频笔记 Exercises-of-the-First-Edition-------------第一版章节习题解答 +---images---------------------------------习题插图 +---notebook-------------------------------JupyterNotebook格式习题解答 PhaseFour----------------------------------深度之眼第四期 +---Note | +----image----------------------------笔记截图 | +----notebook-------------------------JupyterNotebook格式视频笔记 +---Week1----------------------------------第一周作业 +---Week2----------------------------------第二周作业 +---Week3----------------------------------第三周作业 +---Week4----------------------------------第四周作业 +---Week5----------------------------------第五周作业 PhaseOne-----------------------------------深度之眼第一期 +---Week1----------------------------------第一周作业 +---Week2----------------------------------第二周作业 +---Week3----------------------------------第三周作业 +---Week4----------------------------------第四周作业 +---Week5----------------------------------第五周作业
运行环境设置
- 安装相关的依赖包
pip install -r requirements.txt
- 安装graphviz
可参考博客:https://blog.csdn.net/HNUCSEE_LJK/article/details/86772806 - 设置PhaseFour目录为Sources Root
总结
笔者有一些作业题是根据优秀资源[3]中解答的,作业题并不难,希望小伙伴们都能动手完成。
该训练营课程来自微信公众号深度之眼,笔者非常推荐,虽然以自学为主,但是在星球中能学到很多知识。该公众号下的机器学习实战训练营也很不错,大家可以尝试学习一下,一定有很大的收获。这个是我在该训练营的作业:机器学习实战
笔者用了近三周时间(2019年7月26日——2019年8月15日),完成了深度之眼的统计学习方法第四期视频笔记,再次学一遍感觉收获甚多,还记得第一次学这本书的时候,很多公式都没有手动推导,这次视频笔记是根据老师的视频,添加了很多笔者自己推导的公式,希望大家能读懂并能有所收获,笔记中难免有些错误,还请大家能协助帮忙指出。
笔者用了近10天时间(2019年11月4日——2019年11月14日),完成了李航-统计学习方法(第一版)的所有习题,在做习题的时候,查了很多资料,大部分题目是参考优秀资源[3]中的解答,虽然里面很多证明没有,但是笔者依然坚持完成了,这是第三遍刷李航老师的这本书了,笔记中习题6.3的代码编程没有完成,但是笔者依然会在后期完善并更新文档,PDF版本在Books文件夹下,另外很感谢一个女生一直支持我完成习题。
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