Statistical Learning and Data Science

Data analysis is changing fast. Driven by a vast range of application domains

and affordable tools, machine learning has become mainstream. Unsupervised

data analysis, including cluster analysis, factor analysis, and low dimensionality

mapping methods continually being updated, have reached new heights of

achievement in the incredibly rich data world that we inhabit.

Statistical Learning and Data Science is a work of reference in the rapidly

evolving context of converging methodologies. It gathers contributions from

some of the foundational thinkers in the different elds of data analysis to the

major theoretical results in ...