Machine Learning Notes : Stanford University

0 Catalog

1 Introduction

2 Linear Regression with One Variable

3 Linear Algebra Review

4 Linear Regression with Multiple Variables

5 Octave Tutorial

6 Logistic Regression

7 Regularization

8 Neural Networks: Representation

9 Neural Networks: Learning

10 Advice for Applying Machine Learning

11 Machine Learning System Design

12 Support Vector Machines

13 Clustering

14 Dimensionality Reduction

15 Anomaly Detection

16 Recommender Systems

17 Large Scale Machine Learning

18 Application Example: Photo OCR