机器学习入门到实践-MATLAB实践应用全书源码

# ml-in-action 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")  ## Table of Contents - [chapter2: MATLAB introduction](chapter2/) - [chapter4: KNN](chapter4/) - [chapter5: Decision tree](chapter5/) - [chapter6: SVM](chapter6/) - [chapter7: Naive bayesian](chapter7/) - [chapter8: Linear regression](chapter8/) - [chapter9: Logistic regression](chapter9/) - [chapter10: Neural network](chapter10/) - [chapter11: Adaboost](chapter11/) - [chapter12: K-means](chapter12/) - [chapter13: EM](chapter13/) - [chapter14: K-Medoids](chapter14/) - [chapter15: Apriori](chapter15/) - [chapter16: Gaussian mixture model](chapter16/) - [chapter17: DBSCAN](chapter17/) - [chapter18: Policy iteration & value iteration](chapter18/) - [chapter19: Q learning & SARSA](chapter19/) ## Dependencies - MATLAB 2016b - Win7/8/10 ## Usage ### Linux用户 - 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))` ### Window用户： - 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 ## References - [Reinforcement Learning: An Introduction (2nd Edition)](http://incompleteideas.net/sutton/book/bookdraft2017june.pdf) - 李航、周志华的书，各种博客 - [知乎专栏](https://zhuanlan.zhihu.com/c_1060499676423471104) ## Contributor - [huiwen](https://github.com/huiwenzhang) - [yuquan](https://github.com/Ericyuquan)