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mlclass-ex1
- 机器学习_斯坦福大学2013课后作业 正在学习，作业联系可以参考-Machine learning _ Stanford University 2013 Homework Are learning, you can refer to the operating contact
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-ex3
- 斯坦福大学在国际公开课上的机器学习里面的练习3的答案，仅供参考-Exercise Answers Stanford Machine Learning in the international open class inside 3 for reference purposes only
cvx-w64
- 斯坦福大学开发的凸优化包，适用于matlab环境，解决凸优化问题-Stanford University developed convex optimization package for matlab environment, solving convex optimization problem
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
note-of-ml
- 斯坦福大学机器学习课程讲义，深入浅出、内容丰富-Stanford university machine learning course notes, simple and rich in content
BP-matlab
- matlab实现神经网络中的BP算法，基于斯坦福大学机器学习的网络公开课-matlab realize the BP neural network algorithm, Stanford Machine Learning based networks open class
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.
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-ex3
- 斯坦福大学机器学习公开课程第三讲matlab实现作业--多逻辑回归和神经网络表示。-Stanford Machine Learning public speaking courses third matlab realize the job- and more logistic regression and neural network representation.
mlclass-ex4
- 斯坦福大学机器学习公开课程第四讲matlab实现作业--神经网络学习。-Stanford Machine Learning public speaking courses fourth matlab realize the job- neural network learning.
PCA
- 斯坦福大学深度学习，PCA主成分分析的补充完的代码-PCA principal component analysis of deep learning at Stanford, added the code
ex1
- 斯坦福机器学习课程中的linear regression部分练习-Stanford machine learning course in linear regression part of the exercise
ex2
- 斯坦福机器学习课程中的logistic regression部分练习-Stanford Machine Learning course part of the exercise in the logistic regression
ex3
- 斯坦福机器学习课程中的multi-class 部分练习-Stanford machine learning course in multi-class part of the exercise
ex4
- 斯坦福机器学习课程中的Neural network learning 部分练习-Stanford Machine Learning Course Neural network learning part of the exercise
ant_array_min_therm_noise
- 凸优化matlab工具箱cvx使用实例,自适应波束形成,斯坦福大学凸优化大牛S.Boyd编写-matlab toolbox for convex optimization ,written by S.Boyd from Stanford University
jiqixuexikecheng
- 斯坦福大学的机器学习公开课的所有讲义，全部内容都有很有用。-All open class machine learning lecture at Stanford University, the entire contents of both useful.
SU2-3.2.5.tar
- 斯坦福大学航空系非结构网格CFD代码SU2-CFD CODE