New York: Springer, 2017. - 456 p.
What is Data science
Mathematical Preliminaries
Data Munging
Scores and Rankings
Statistical Analysis
Visualizing Data
Mathematical Model
Linear Algebra
Linear and Logistic Regression
Distance and Network Methods
Machine Learning
Big Data: Achieving Scale
Coda