Practical Machine Learning Cookbook > PACKT 원서리스트

Table of Contents

1: INTRODUCTION TO MACHINE LEARNING
2: CLASSIFICATION
3: CLUSTERING
4: MODEL SELECTION AND REGULARIZATION
5: NONLINEARITY
6: SUPERVISED LEARNING
7: UNSUPERVISED LEARNING
8: REINFORCEMENT LEARNING
9: STRUCTURED PREDICTION
10: NEURAL NETWORKS
11: DEEP LEARNING
12: CASE STUDY - EXPLORING WORLD BANK DATA
13: CASE STUDY - PRICING REINSURANCE CONTRACTS
14: CASE STUDY - FORECAST OF ELECTRICITY CONSUMPTION