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

Author(s)

• Ivezić, Željko
• Connolly, Andrew J.
• Vanderplas, Jacob T.
• Gray, Alexander

Bibliographic Information

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

Željko Ivezić ... [et al.]

（Princeton series in modern observational astronomy）

Princeton University Press, c2020

Updated ed

Note

Other editors: Andrew J. Connolly, Jacob T. VanderPlas, Alexander Gray

Includes bibliographical references and index

Details

• NCID: BB29531225
• ISBN:
  • 9780691198309
• LCCN: 2019022878
• Country Code: us
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Princeton, N.J.
• Pages/Volumes: x, 537 p., 8 p. of plates
• Size: 27 cm
• Classification:
  • LCC : QB51.3.E43
  • DC23 : 522/.85
• Subject Headings:
  • LCSH : Astronomy -- Data processing
  • LCSH : Statistical astronomy
  • LCSH : Python (Computer program language)
• Parent Bibliography ID:
  • BB14795110