Statistics, data mining, and machine learning in astronomy : a practical Python guide for the analysis of survey data /

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Bibliographic Details
Author / Creator:	Ivezić, Željko, author.
Edition:	Updated edition.
Imprint:	Princeton : Princeton University Press, [2020] ©2020
Description:	1 online resource.
Language:	English
Series:	Princeton series in modern observational astronomy Princeton series in modern observational astronomy.
Subject:	Astronomy -- Data processing. Statistical astronomy. Python (Computer program language) Astronomy -- Data processing. Python (Computer program language) Statistical astronomy.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/13306401

Hidden Bibliographic Details
Other authors / contributors:	Connolly, Andrew (Andrew J.), author. Vanderplas, Jacob T., author. Gray, Alexander (Alexander G.), author.
ISBN:	0691197059 9780691197050 9780691198309
Notes:	Includes bibliographical references and index. Description based on online resource; title from digital title page (viewed on December 11, 2019).
Other form:	Print version: Ivezić, Željko. Statistics, data mining, and machine learning in astronomy. Updated edition. Princeton : Princeton University Press, [2020] 9780691198309

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