Textbook:Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data
Author(s): Željko Ivezić; Andrew Connolly

Description:
This coursebook provides the interface between astronomical data analysis problems and modern statistical methods. It is aimed at physical and data-centric scientists who have an understanding of the science drivers for analyzing large data sets but may not be aware of developments in statistical techniques over the last decade. The book targets researchers who want to use existing methods for the analysis of large data sets, rather than those interested in the development of new methods. Theoretical discussions are limited to the minimum required to understand the algorithms. Nevertheless, extensive and detailed references to relevant specialist literature are interspersed throughout the coursebook.