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Ex1
- 模式识别某次课程的作业，完成了高斯分布下的两种贝叶斯分类器,以及非参数的K近邻、Parzen窗方法，采用UCI机器学习数据库中的某些数据作为样本，使用交叉验证方法确定参数-Pattern recognition of a particular course work, completed under the two Gaussian Bayesian classifier, and the non-parametric K-nearest neighbor, Parzen window meth
mlclass-ex1
- 机器学习里的多分类问题，用logistic回归解决。-Machine learning in the multi-classification problem, using logistic regression to solve.
mlclass-ex1-005
- 斯坦福机器学习公开课第一次作业代码,matlab或者octave-Stanford open class machine learning code first job
mlclass-ex1
- 斯坦福大学机器学习公开课程第一讲matlab实现作业--线性回归。-Stanford Machine Learning public speaking courses matlab achieve first job- linear regression.
ex1
- 贝叶斯方法一篇比较科普的中文介绍可以见pongba的平凡而神奇的贝叶斯方法: http://mindhacks.cn/2008/09/21/the-magical-bayesian-method/，实际实现一个贝叶斯分类器之后再回头看这篇文章，感觉就很不一样。 在模式识别的实际应用中，贝叶斯方法绝非就是post正比于prior*likelihood这个公式这么简单，一般而言我们都会用正态分布拟合likelihood来实现。-pattern identification
ex1
- 机器学习－1、线性回归 开发环境是Octave-Programming Exercise 1: Linear Regression Machine Learning
machine-learning-ex1
- machine learning is perfect
machine-learning-ex1
- coursera machine learning 课程联系题(course exercise for machine learning taught by andrew ng)
machine-learning-ex1
- coursera上吴恩达老师讲的机器学习的实验一的代码，部分代码和其他人的不一样，比如for循环我直接用矩阵做(coursera on machine learning experiments Andrew Ng teacher talking about a code part of the code and not the same as others, such as for loop I do directly with the matrix)
ex1
- 作业，作业主文件，其实没啥改动.....(operation,main function ,have not any change)
machine-learning-ex1
- 吴恩达机器学习课程神经网络和机器学习作业及答案(coursera's machine learning answer)
ex1
- NG Andrew-machin learning code- ex1
ex1--finished
- 吴恩达机器学习第一个编程练习,使用octave语言练习。(Coursea---meachine learning)