Machine Learning with R, 2/Ed > PACKT 원서리스트

1: INTRODUCING MACHINE LEARNING

2: MANAGING AND UNDERSTANDING DATA

3: LAZY LEARNING – CLASSIFICATION USING NEAREST NEIGHBORS

4: PROBABILISTIC LEARNING – CLASSIFICATION USING NAIVE BAYES

5: DIVIDE AND CONQUER – CLASSIFICATION USING DECISION TREES AND RULES

6: FORECASTING NUMERIC DATA – REGRESSION METHODS

7: BLACK BOX METHODS – NEURAL NETWORKS AND SUPPORT VECTOR MACHINES

8: FINDING PATTERNS – MARKET BASKET ANALYSIS USING ASSOCIATION RULES

9: FINDING GROUPS OF DATA – CLUSTERING WITH K-MEANS

10: EVALUATING MODEL PERFORMANCE

11: IMPROVING MODEL PERFORMANCE

12: SPECIALIZED MACHINE LEARNING TOPICS