Support Vector Machines

  I have some issues to state. First, there were some bugs in original code which may be caused by versions. I don't know...

  There are three pictures u need to draw a division boundary. The first calls 'visualizeBoundaryLinear.m' which is fine, but the others which call 'visualizeBoundary.m' can not

draw boundaries. So I check out this file and change the code 'contour(X1, X2, vals, [0 0], 'Color', 'b');' to 'contour(X1, X2, vals, [0.1 0.1], 'linecolor','b');', then it turn out to work!

  Second, It's fun to achieve the SVM for spam-email filter. Everything about it is in ex6.pdf. U should learn more about this.

  Finally, my code is also in gitlab which you can click hereto get it.

  It is really fansinated to see all functions run in a correct way!

Coursera公开课-Machine_learing:编程作业6的更多相关文章

  1. Coursera公开课-Machine_learing:编程作业

    第二周编程作业:Linear Regression 分为单一变量和多变量,假想函数为:hθ(x)=θ0+θ1x1+θ2x2+θ3x3+⋯+θnxn.明显已经包含单一变量的情况,所以完成多变量可以一并解 ...

  2. Coursera公开课-Machine_learing:编程作业8(2016-10-06 20:49)

    Anomaly Detection and Recommender Systems 本周编程作业分为两部分:异常检测和推荐系统. 异常检测:本质就是使用样本的到特种值的gaussian分布,来预估正确 ...

  3. Coursera公开课-Machine_learing:编程作业4

    编程作业: Neural Network Learning 源码上传到gitlab. 对于神经网络的理解也都在源码注释里面了,感兴趣可以看看.

  4. Coursera公开课-Machine_learing:编程作业3

    第四周 编程作业: Multi-class Classification and Neural Networks 这周作业与上一周有许多相同的部分,比如longistic regression中的lr ...

  5. Coursera公开课-Machine_learing:编程作业2

    第三周编程作业:Logistic Regression 代码包在gitlab上:https://gitlab.com/luntai/Machine_Learning

  6. Coursera公开课-Machine_learing:编程作业7

    这周的编程作业主要是两方面内容. 1.K-means聚类. 2.PCA(Principle Component Analys)主成分分析. 方式主要是通过对图像的聚类实现压缩图像,后来发现PCA也可以 ...

  7. Coursera公开课-Machine_learing:编程作业5

    Regularized Linear Regression and Bias/Variance 大多数时候,我们使用机器学习方法得到的结果都不是特别理想,常见 欠拟合 和 过拟合 问题.通过一些变量画 ...

  8. Coursera公开课Functional Programming Principles in Scala习题解答:Week 2

    引言 OK.时间非常快又过去了一周.第一周有五一假期所以感觉时间绰绰有余,这周中间没有假期仅仅能靠晚上加周末的时间来消化,事实上还是有点紧张呢! 后来发现每堂课的视频还有相应的课件(Slide).字幕 ...

  9. Coursera公开课笔记: 斯坦福大学机器学习第六课“逻辑回归(Logistic Regression)” 清晰讲解logistic-good!!!!!!

    原文:http://52opencourse.com/125/coursera%E5%85%AC%E5%BC%80%E8%AF%BE%E7%AC%94%E8%AE%B0-%E6%96%AF%E5%9D ...

随机推荐

  1. xadmin站点管理类

    9. Xadmin xadmin是Django的第三方扩展,比使用Django的admin站点更强大也更方便. 文档:https://xadmin.readthedocs.io/en/latest/i ...

  2. zabbix--TCP状态监控

    Tcp的连接状态对于我们web服务器来说是至关重要的,尤其是并发量ESTAB:或者是syn_recv值,假如这个值比较大的话我们可以认为是不是受到了攻击(例如SYN攻击),或是是time_wait值比 ...

  3. maxtrid 3D视差

    <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8&quo ...

  4. div+css 组织结构

    <!DOCTYPE html><html><head> <meta charset="utf-8"> <title>家谱 ...

  5. 7-20 Windows消息队列 (25 分)(模拟水题)

    题意: 思路: 用优先队列直接模拟就OK了,另外优先队列存pair的时候比较的是first的值,实测!! 上代码: #include <iostream> #include <que ...

  6. PHP基础库及扩展库安装

    一.安装PHP所需的lib库(基础库): 1.yum install zlib-devel libxml2-devel libjpey-devel libjpeg-turbo-devel libico ...

  7. 洛谷 1003 NOIP2011 D1T1 铺地毯

    [题解] 因为只询问一个点,所以记录地毯信息,倒着找第一个符合条件的地毯就是在最上面的. #include<cstdio> #include<algorithm> #defin ...

  8. 2017 Multi-University Training Contest - Team 4 Classic Quotation

    Classic Quotation Time Limit: 8000/4000 MS (Java/Others)    Memory Limit: 524288/524288 K (Java/Othe ...

  9. Java_集合总结

    集合分类 Collection 接口是集合的父类 1.Set 集合 使用内部的排列机制(无序),存入集合的顺序和取出集合的顺序不一致,没有索引,存入集合的元素没有重复 HashSet集合 Linked ...

  10. BZOJ1193 马步距离 (贪心)

    恶心的题目= = #include <cstdio> #include <cmath> #include <algorithm> ][]={{,,,,},{,,,, ...