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machine-learning-
- 斯坦福大学机器学习课程及个人笔记，包括英文原始讲义及个人详细笔记，值得收藏！-Stanford University machine learning courses and personal notes, including the original English handouts and personal detailed notes, worth collecting!
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
sparseAutoencoderCost
- 斯坦福大学机器学习课程的一个源代码例子，对于机器学习和deep learning的学习研究很有帮助-this codes are from standford university,which are about machine learning and deep learning.they will be helpful in this research field
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公开课CS229 课程作业5-Stanford University public courses CS229 machine learning coursework 5
machine-learning-ex1
- 斯坦福大学机器学习公开课CS229 课程作业4-Stanford University public courses CS229 machine learning coursework 4
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原始讲义
- 新手入门机器学习，深度学习，AI，大数据，首选吴恩达教授的入门讲义(Beginners, machine learning, depth learning, AI, big data, the first selection of Professor Wu Enda Lecture Notes)
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)
斯坦福大学机器学习课程个人学习笔记（上）
- 机器学习很好的资料，对于任何专业的学生都适用(Machine learning very good information for any professional students are applicable)
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.)
斯坦福大学机器学习学习课程讲义
- 斯坦福大学机器学习课程讲义，有助于更好理解课程内容(Lecture notes on the course of machine learning at Stanford University)
机器学习讲义
- 斯坦福大学机器学习讲义，为机器学习初学者提供了较大帮助(Lecture notes on machine learning at Stanford University)