大名鼎鼎的機器學(xué)習大牛Andrew Ng的Machine Learning課程，在此mark一下：

一：Coursera：

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

這門課是Andrew Ng在其開創(chuàng)的公開在線課程網(wǎng)站coursera上最初開設(shè)的幾門課之一，assignment也有一定的難度。大綱如下：

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：網(wǎng)易公開課（帶中文翻譯字幕、英文課件可打包下載）：

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

三：MOOC學(xué)院（類似于coursera）：
http://mooc.guokr.com/course/16/Machine-Learning/

四：Stanford（斯坦福Machine Learning課程cs229.官網(wǎng)）：
http://cs229.stanford.edu/

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