Machine Learning With R, 2/Ed > PACKT 원서리스트

Table of Contents
Introducing Machine Learning
Managing and Understanding Data
Lazy Learning - Classification Using Nearest Neighbors
Probabilistic Learning - Classification Using Naive Bayes
Divide and Conquer - Classification Using Decision Trees and Rules
Forecasting Numeric Data - Regression Methods
Black Box Methods - Neural Networks and Support Vector Machines
Finding Patterns - Market Basket Analysis Using Association Rules
Finding Groups of Data - Clustering with K-means
Evaluating Model Performance
Improving Model Performance