Mastering Machine Learning with R, 2/Ed > PACKT 원서리스트

1 A Process for Success

2 Linear Regression - The Blocking and Tackling of Machine Learning

3 Logistic Regression and Discriminant Analysis

4 Advanced Feature Selection in Linear Models

5 More Classification Techniques - K-Nearest Neighbors and Support Vector Machines

6 Classification and Regression Trees

7 Neural Networks and Deep Learning

8 Cluster Analysis

9 Principal Components Analysis

10 Market Basket Analysis, Recommendation Engines, and Sequential Analysis

11 Creating Ensembles and Multiclass Classification

12 Time Series and Causality

13 Text Mining

14 R on the Cloud

15 R Fundamentals

16 Sources