大名鼎鼎的机器学习大牛Andrew Ng的Machine Learning课程，在此mark一下：

一：Coursera：

https://www.coursera.org/learn/machine-learning/home/info

这门课是Andrew Ng在其开创的公开在线课程网站coursera上最初开设的几门课之一，assignment也有一定的难度。大纲如下：

Syllabus

第 1周

Introduction

Environment Setup Instructions
Introduction
Review
Course Wiki Lecture Notes

Quiz: Introduction

第 2周

Linear Regression with One Variable

Model and Cost Function
Parameter Learning
Review

Quiz: Linear Regression with One Variable

第 3周

Linear Algebra Review

Linear Algebra Review
Review

第 4周

Linear Regression with Multiple Variables

Multivariate Linear Regression
Computing Parameters Analytically
Review

Quiz: Linear Regression with Multiple Variables
Programming Assignment: Linear Regression

第 5周

Octave Tutorial

Octave Tutorial
Submitting Programming Assignments
Review

Quiz: Octave Tutorial

第 6周

Logistic Regression

Classification and Representation
Logistic Regression Model
Multiclass Classification
Review

Quiz: Logistic Regression
Programming Assignment: Logistic Regression

第 7周

Regularization

Solving the Problem of Overfitting
Review

Quiz: Regularization

第 8周

Neural Networks: Representation

Motivations
Neural Networks
Applications
Review

Quiz: Neural Networks: Representation
Programming Assignment: Multi-class Classification and Neural Networks

第 9周

Neural Networks: Learning

Cost Function and Backpropagation
Backpropagation in Practice
Application of Neural Networks
Review

Quiz: Neural Networks: Learning
Programming Assignment: Neural Network Learning

第 10周

Advice for Applying Machine Learning

Evaluating a Learning Algorithm
Bias vs. Variance
Review

Quiz: Advice for Applying Machine Learning
Programming Assignment: Regularized Linear Regression and Bias/Variance

第 11周

Machine Learning System Design

Building a Spam Classifier
Handling Skewed Data
Using Large Data Sets
Review

Quiz: Machine Learning System Design

第 12周

Support Vector Machines

Large Margin Classification
Kernels
SVMs in Practice
Review

Quiz: Support Vector Machines
Programming Assignment: Support Vector Machines

第 13周

Unsupervised Learning

Clustering
Review

Quiz: Unsupervised Learning

第 14周

Dimensionality Reduction

Motivation
Principal Component Analysis
Applying PCA
Review

Quiz: Principal Component Analysis
Programming Assignment: K-Means Clustering and PCA

第 15周

Anomaly Detection

Density Estimation
Building an Anomaly Detection System
Multivariate Gaussian Distribution (Optional)
Review

Quiz: Anomaly Detection

第 16周

Recommender Systems

Predicting Movie Ratings
Collaborative Filtering
Low Rank Matrix Factorization
Review

Quiz: Recommender Systems
Programming Assignment: Anomaly Detection and Recommender Systems

第 17周

Large Scale Machine Learning

Gradient Descent with Large Datasets
Advanced Topics
Review

Quiz: Large Scale Machine Learning

第 18周

Application Example: Photo OCR

Photo OCR
Review
Conclusion

Quiz: Application: Photo OCR

二：网易公开课（带中文翻译字幕、英文课件可打包下载）：

http://v.163.com/special/opencourse/machinelearning.html

三：MOOC学院（类似于coursera）：
http://mooc.guokr.com/course/16/Machine-Learning/

四：Stanford（斯坦福Machine Learning课程cs229.官网）：
http://cs229.stanford.edu/

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