出版书籍《机器学习入门——MATLAB实战与应用》一书中的实例程序。涉及监督学习，非监督学习和强化学习。(code for book "Machine Learning Introduction & Action in MATLAB")

• chapter2: MATLAB introduction
• chapter4: KNN
• chapter5: Decision tree
• chapter6: SVM
• chapter7: Naive bayesian
• chapter8: Linear regression
• chapter9: Logistic regression
• chapter10: Neural network
• chapter11: Adaboost
• chapter12: K-means
• chapter13: EM
• chapter14: K-Medoids
• chapter15: Apriori
• chapter16: Gaussian mixture model
• chapter17: DBSCAN
• chapter18: Policy iteration & value iteration
• chapter19: Q learning & SARSA

• MATLAB 2016b
• Win7/8/10

• clone仓库到本地git clone https://github.com/huiwenzhang/ml-in-action.git
• 在根目录下将程序文件添加到matlab路径即可，命令：addpath(genpath(pwd))

• 点击仓库右上角按钮clone and download，下拉菜单选择download zip
• 解压，在MATLAB中添加代码的路径

• Reinforcement Learning: An Introduction (2nd Edition)
• 李航、周志华的书，各种博客
• 知乎专栏

• huiwen
• yuquan