Statistical Regression and Classification: From Linear Models to Machine Learning takes an innovative look at the traditional statistical regression course, pre

This is the first book on multivariate analysis to look at large data sets which describes the state of the art in analyzing such data. Material such as databas

Provides a foundation in classical parametric methods of regression and classification essential for pursuing advanced topics in predictive analytics and statis

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast

A core task in statistical analysis, especially in the era of Big Data, is the fitting of flexible, high-dimensional, and non-linear models to noisy data in ord