Machine Learning in Action - ApacheCN

Chapter 1:  Basics
Chapter 2:  K-Nearest Neighbors Algorithm
Chapter 3:  Decision Tree Algorithms
Chapter 4:  Naive Bayes
Chapter 5:  Logistic Regression
Chapter 6:  Support Vector Machines
Chapter 7:  Ensemble Methods
Chapter 7 Chapter 8:  Regression
Chapter 9:  Tree Regression
Chapter 10:  KMeans Clustering
Chapter 11:  Apriori Algorithm and Association Analysis
Chapter 12:  FP-growth Efficiently Finding Frequent Itemsets
Chapter 13:  PCA Dimensionality Reduction
Chapter 14:  SVD Simplified Data
Chapter 15:  Big Data and MapReduce
Chapter 16:  Introduction to Recommendation System
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