最近正在学习机器学习与数据挖掘，将个人觉得比较好的资料整理至此，并将持续更新。

I. Tutorial

算法思维导图 (Picture from http://machinelearningmastery.com/)

II. Tools

Weka

Matlab (Neural Network Toolbox, Statistic Toolbox and Curve Fitting Toolbox)

NumPy and SciPy

R: The Programming Language for Statistical Computing (https://www.r-project.org/)

III. Reference Books

1. 李航 - 《统计学习方法》
2. Pattern Recognition and Machine Learning, Christopher M. Bishop
3. Information Theory, Inference, and Learning Algorithms, David J.C. MacKay

IV. Articles

1. 数学之美番外篇：平凡而又神奇的贝叶斯方法, 刘未鹏, http://mindhacks.cn/2008/09/21/the-magical-bayesian-method/

V. Other