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stanford大学Andrew Ng讲授的机器学习课程的全部讲稿
- 本文档为stanford大学Andrew Ng讲授的机器学习课程的全部讲稿，内容讲的非常透彻。如果英文听力好的话，可以在youtube上看到该课程的教学视频。对于ML的初学有较大帮助。,This document stanford University Andrew Ng for Machine Learning courses to teach the full scr ipt, talking about a very thorough content. If English is good
fast_sc.tgz
- This a source code for sparse coding algorithm: Reference: Efficient sparse coding algorithms Honglak Lee, Alexis Battle, Raina Rajat and Andrew Y. Ng. In NIPS 19, 2007. -This is a source code for sparse coding algorithm: Reference
machine-learning-courses_stanford
- 斯坦福大学Andrew Ng讲授的机器学习课程的全程讲义及录音对应的文字资料,对许多常用机器学习算法有着深入系统的讲解。-The notes of Machine learning courses in Stanford University。
rwrelease.tar
- Andrew N.G. 教授于2011年机器学习国际会议(ICML)发表了文章Code for On Random Weights and Unsupervised Feature Learning， 文件是paper的实现代码，非常具有参考价值-Professor Andrew NG 2011 machine learning Article Code for On the Random Weights and Unsupervised Feature Learning Internation
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- 斯坦福大学计算机系Andrew N.G教授于2011年CVPR发表文章Learning hierarchical spatio-temporal features for action recognition with independent subspace analysis，文件是实现的code，很有用哦-Andrew NG, Professor of the Department of Computer Science at Stanford University published in
notes-of-AndrewNg
- 这是斯坦福大学著名教授Andrew Ng 的机器学习备课笔记。-The notes of Professor Andrew Ng in Stanford University about mechine learning
Machine-Learning
- 斯坦福大学的Andrew Ng讲述的机器学习课程讲义-Stanford Andrew Ng tells the machine learning course notes
Andrew Ng 机器学习的讲义 第12份（完整的）
- Andrew Ng 机器学习的讲义 第12份（完整的），包含连续MDP的内容。
cs229-notes12
- 这是 Andrew Ng 机器学习讲义《Reinforcement Learning and Control》,包含了离散和连续MDP的内容，比官网的课件全。（官网的缺乏连续MDP部分）-This is Andrew Ng Machine Learning Materials " Reinforcement Learning and Control" , contains a discrete and continuous MDP content than the officia
ng-machine-learning
- andrew ng 的机器学习笔记，很好-ng machine learning study note
machine-learning_notes_andrew-NG
- 机器学习笔记由著名的专家Andrew NG编写，适合初学者学习。-machine learning_notes_andrew NG，which is the notes of the machine learning lecture.
machine-learning_key_andrew-NG
- 机器学习的核心概念，由著名的专家Andrew NG编写，适合初学者学习。-machine learning key points by Andrew NG，which is the notes of the machine learning lecture.
machine-learning-yearning-andrew-ng
- 机器学习 andrew ng,Machine learning is the foundation of countless important applications, including web search, email anti-spam, speech recognition, product recommendations, and more. I assume that you or your team is working on a machine learning a
Andrew Ng
- Andrew Ng机器学习视频配套matlab代码(Andrew Ng machine learning video matching matlab code)
stanford_dl_ex-master
- coursera斯坦福Andrew Ng的深度学习编程作业答案(This is the answer of Andrew ng's deep learning curriculum in coursera.)
MachineLearning_Andrew Ng 2
- machine learning Andrew Ng
ipython-notebooks-master
- 机器学习详细课程代码以及讲解， Andrew Ng 机器学习课程练习的实现(Andrew Ng's "Machine Learning")
吴恩达深度学习基础教程
- 吴恩达教授有关深度学习浅显易懂的算法介绍，包括基础算法和示例。(Deep learning algorithms introduction by Andrew Ng.)
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- NG Andrew-machin learning code- ex1
Andrew Ng machine-learning-ex4
- 吴恩达机器学习课程源码，第4个练习作业代码(Andrew machine learning course source code, the fourth practice code)