Statistical Software An introduction to Statistics Using R Instructed by Jinzhu Jia

Chap 13. 机器学习 参考文献： 基本内容 K-NN Naïve Bayes Decision Trees

K-NN

Example

K = ？

Data transformation

R packages for KNN Package: class

Naïve Bayes

Example

Laplace estimator

Text mining with Naïve Bayes Spam SMS detection See R code R package for naïve bayes: e1071

Decision Trees

Choosing the best split

R-Package Package: C50

Forecasting Numeric Data Regression Ridge Regression Lasso CART Model Tree SVM Neuron Networks

SVM

Neuron Networks

Evaluating Model Performances Cross-validation

Specialized machine learning topics Web data XML

期末大论文 1. 选择一个合适的实际问题 2. 针对实际问题，寻找合适的方法 3. 使用 R 变成解决该实际问题。 4. 写一个报告。 报告要求是论文格式。可以参考 journal of American Statistical Association. 时间：毕业班 —6 月 15 日；其余 —6 月 25 日