Statistics for Machine Learning：Build Machine Learning models with a soundstatistical understanding.

Pratap Dangeti    July 2017  442 pages

Table of Contents

1: JOURNEY FROM STATISTICS TO MACHINELEARNING

2: PARALLELISM OF STATISTICS AND MACHINELEARNING

3: LOGISTIC REGRESSION VERSUS RANDOM FOREST

4: TREE-BASED MACHINE LEARNING MODELS

5: K-NEAREST NEIGHBORS AND NAIVE BAYES

6: SUPPORT VECTOR MACHINES AND NEURALNETWORKS

7: RECOMMENDATION ENGINES

8: UNSUPERVISED LEARNING

9: REINFORCEMENT LEARNING

可参见：https://www.packtpub.com/big-dat ... cs-machine-learning