Statistics for Machine Learning > PACKT 원서리스트

Table of Contents

1: JOURNEY FROM STATISTICS TO MACHINE LEARNING
2: PARALLELISM OF STATISTICS AND MACHINE LEARNING
3: LOGISTIC REGRESSION VERSUS RANDOM FOREST
4: TREE-BASED MACHINE LEARNING MODELS
5: K-NEAREST NEIGHBORS AND NAIVE BAYES
6: SUPPORT VECTOR MACHINES AND NEURAL NETWORKS
7: RECOMMENDATION ENGINES
8: UNSUPERVISED LEARNING
9: REINFORCEMENT LEARNING