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mlclass-ex1
- 这是机器学习的练习材料，里面包含了代码和例题-This is a machine learning practice material, which contains the code and Example
mlclass-ex2
- 机器学习_斯坦福大学2013第二章课后作业 正在学习，作业联系可以参考-Machine learning _ Stanford University 2013 HomeworkAre learning, you can refer to the operating contact
mlclass-ex2
- 斯坦福大学在国际公开课上的机器学习的习题2的答案，仅供参考，-The answer machine learning exercises 2 for reference
mlclass-ex2-005
- 机器学习代码，线性回归逻辑回归，直接运行即可-linear regression
mlclass-ex2
- 斯坦福大学机器学习公开课程第二讲matlab实现作业--逻辑回归。-Stanford Machine Learning public speaking courses matlab achieve second job- logistic regression.
mlclass-ex2
- logistic regression演示和带正则化的多features时的情况演示。是机器学习中的重要知识。-logistic regression with regularization presentations and case presentation when multiple features. Machine learning is an important knowledge.
mlclass-ex2-jin
- 斯坦福大学机器学习源代码的一个例程，包括说明文档以及详细代码-A routine Stanford University machine learning source code, including documentation and code details
mlclass-ex2-007
- 斯坦福机器学习课程里的实验资料pdf及源代码。-Stanford Machine Learning experiments
mlclass-ex2
- 逻辑回归，机器学习相关内容，内有说明，基于matlab仿真-ex2.m- Octave scr ipt that will help step you through the exercise ex2 reg.m- Octave scr ipt for the later parts of the exercise ex2data1.txt- Training set for the rst half of the exerc