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machine-learning-lecture-notes
- andrew ng教授的机器学习讲义，全英文，详细的介绍了斯坦福大学机器学习课程的内容-andrew ng Professor machine learning lectures, in English, a detailed descr iption of the Stanford machine learning course content
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.
machine-learning-ex5
- 斯坦福大学机器学习第六周，包括第六周的讲义以及作业代码ex5。-machine learning week6 ex5 - Regularized Linear Regression and Bias v.s.Variance
ex1
- 斯坦福大学机器学习作业一完整代码，带注释-Machine Learning Stanford job a complete code with comments
machine-learning-ex1
- 斯坦福大学机器学习编程作业第一次答案 ex1-machine learning answer ex1
machine-learning-ex3
- 斯坦福大学机器学习第3次作业 可供参考 100分-Stanford Machine Learning 3rd job for reference 100
machine-learning-ex4
- 斯坦福大学机器学习第4次作业 可供参考 100分-Stanford Machine Learning 4th job for reference 100
machine-learning-ex5
- 斯坦福大学机器学习第5次作业 可供参考 100分-Stanford Machine Learning for the fifth job reference 100
Octave.ML.patch
- 斯坦福大学机器学习 octave提交失败需要打上此补丁 才会提交成功-Stanford Machine Learning octave failure to submit required marked this patch will be submitted successfully
machine-learning-ex1
- 斯坦福大学机器学习课程作业第一章，主要包含线性回归实战。-Stanford Machine Learning course work first chapter contains a linear regression combat.
斯坦福大学机器学习课程原始讲义
- 斯坦福大学机器学习课程原始讲义, 很经典的课程，机器学习入门(Stanford University machine learning course original handouts, very classic courses, machine learning portal)
斯坦福大学机器学习课程个人笔记完整版 (1)
- 斯坦福大学机器学习课程个人笔记完整版，读书笔记(Stanford University machine learning course, personal notes, full version, reading notes)
机器学习个人笔记完整版v4.21
- 吴恩达2014斯坦福大学机器学习课程讲义(2014 Stanford University machine learning course handouts)
ex1
- 斯坦福大学机器学习课程练习一的参考源码，可以直接运行，辅助学习，仅供参考。(A reference source code of Stanford University machine learning course. It can run directly. Aided learning. For reference only.)
斯坦福大学-深度学习基础教程
- 斯坦福大学的深度学习，基础教程。ps:要求先学完吴恩达的机器学习基础再来看，不然看不懂(Depth study of Stanford University, basic course. Ps: needs to learn the basis of Wu Enda's machine learning first, or you can't understand it.)