An Introduction for Statistical Learning I call this book as Bible for applied statistics and machine learning, and I use it as my first go-to resource for any regression problem.
The book covers following topics: Sparse methods for classification and regression
Decision trees and Boosting
Support vector machines
Clustering
Recently 2nd edition is released and topics added to the 2nd edition are: Deep learning
Survival analysis
Multiple testing
Naive Bayes, linear Models
Bayesian additive regress trees
Matrix completion
This books hard copy is available on Amazon
And PDF version is available for FREE here.
