learn
- linux学习日志2
- [Machine Learning (Andrew NG courses)]V. Octave Tutorial (Week 2)
- [Machine Learning (Andrew NG courses)]IV.Linear Regression with Multiple Variables
- Deep Learning 的挑战： Extreme Learning Machine（超限学习机）？
- Kaggle竞赛题目之——Titanic: Machine Learning from Disaster
- [Machine Learning] RBM Brief Introduction
- machine learning概述
- 在Ubuntu 14.04 上安装Caffe碰到的问题
- 【machine learning】linear regression
- 【machine learning】regularization
- MachineLearning - Introduction (Week 1)
- Machine Learning - II. Linear Regression with One Variable (Week 1)
- Machine Learning - III. Linear Algebra Review (Week 1, Optional)
- Machine Learning - IV. Linear Regression with Multiple Variables (Week 2)
- Machine Learning - V. Octave Tutorial (Week 2)
- Machine Learning - VI. Logistic Regression (Week 3)
- Machine Learning - VII. Regularization (Week 3)
- Coursera Machine Learning 学习笔记（三）
- New to Machine Learning? Avoid these three mistakes
- Coursera Machine Learning 学习笔记（二）
- Coursera Machine Learning 学习笔记（一）
- Coursera Machine Learning 学习笔记（四）
- Coursera Machine Learning 学习笔记（五）
- Coursera Machine Learning 学习笔记（六）
- Coursera Machine Learning 学习笔记（七）
- Coursera Machine Learning 学习笔记（九）
- Coursera Machine Learning 学习笔记（八）
- Machine Learning - XI. Machine Learning System Design
- Coursera Machine Learning 学习笔记（十）
- Coursera Machine Learning 学习笔记（十一）
- Coursera Machine Learning 学习笔记（十二）
- Machine Learning - XII. Support Vector Machines (Week 7)
- Machine Learning - XIII. Clustering (Week 8)
- Machine Learning - XIV. Dimensionality Reduction降维
- Machine Learning - XV. Anomaly Detection异常检测(Week 9)
- Machine Learning - XVI. Recommender Systems 推荐系统(Week 9)
- Coursera Machine Learning 学习笔记（十三）
- Coursera Machine Learning 学习笔记（十四）
- Machine Learning - XVII. Large Scale Machine Learning大规模机器学习 (Week 10)
- Machine Learning - Summary机器学习课程总结
