Название: Statistics, Data Mining and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data, Updated Ed
Автор: Željko Ivezić, Andrew J. Connolly, Jacob T. VanderPlas, Alexander Gray
Издательство: Princeton University Press
Год: 2020
Формат: PDF
Страниц: 560
Размер: 39,5 Mb
Язык: English
Statistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the Large Synoptic Survey Telescope. Now fully updated, it presents a wealth of practical analysis problems, evaluates the techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. Python code and sample data sets are provided for all applications described in the book.