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