Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data (Princeton Series in Modern Observational Astronomy)

隨著望遠鏡，探測器和計算機的發展越來越強大，天文學家和天體物理學家處理的數據量將進入PB級，為數十億顆天體提供準確的測量。

本書提供全面介紹，從諸如全景測量望遠鏡和快速反應系統，黑暗能量調查和即將到來的大型天文觀測望遠鏡等天文測量中，有效分析複雜數據所需的尖端統計方法。作為研究生和物理天文學本科生的實用手冊，是研究人員不可或缺的參考。

Statistics, Data Mining, and Machine Learning in Astronomy presents a wealth of practical analysis problems, evaluates techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. For all applications described in the book, Python code and example data sets are provided. The supporting data sets have been carefully selected from contemporary astronomical surveys (for example, the Sloan Digital Sky Survey) and are easy to download and use. The accompanying Python code is publicly available, well documented, and follows uniform coding standards. Together, the data sets and code enable readers to reproduce all the figures and examples, evaluate the methods, and adapt them to their own fields of interest.

   Željko Ivezić(Autor)

Publisher:Princeton University Press 

ISBN:  978-0691151687  

  原價 US:99.95    優惠價低於五五折 NT:1800