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[ subject:"Astronomy- Data processing." ]
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Statistics, data mining, and machine...
~
Ivezić, Željko.
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Statistics, data mining, and machine learning in astronomy : = a practical Python guide for the analysis of survey data /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Statistics, data mining, and machine learning in astronomy :/ Željko Ivezić , Andrew J. Connolly, Jacob T. VanderPlas and Alexander Gray.
其他題名:
a practical Python guide for the analysis of survey data /
其他作者:
Ivezić, Željko.
出版者:
Princeton, N.J. :Princeton University Press, : c2014.,
面頁冊數:
x, 540 p. :ill. ;26 cm.
標題:
Astronomy - Data processing. -
ISBN:
9780691151687
Statistics, data mining, and machine learning in astronomy : = a practical Python guide for the analysis of survey data /
Statistics, data mining, and machine learning in astronomy :
a practical Python guide for the analysis of survey data /Željko Ivezić , Andrew J. Connolly, Jacob T. VanderPlas and Alexander Gray. - Princeton, N.J. :Princeton University Press,c2014. - x, 540 p. :ill. ;26 cm. - Princeton series in modern observational astronomy.
Includes bibliographical references and index.
Fast computation on massive data sets --
ISBN: 9780691151687US95.00
LCCN: 2013951369Subjects--Topical Terms:
816366
Astronomy
--Data processing.
LC Class. No.: QB51.3.E43 / S8 2014
Statistics, data mining, and machine learning in astronomy : = a practical Python guide for the analysis of survey data /
LDR
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Statistics, data mining, and machine learning in astronomy :
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a practical Python guide for the analysis of survey data /
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Željko Ivezić , Andrew J. Connolly, Jacob T. VanderPlas and Alexander Gray.
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Princeton University Press,
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c2014.
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x, 540 p. :
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ill. ;
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26 cm.
490
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Princeton series in modern observational astronomy
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Includes bibliographical references and index.
505
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$t
Fast computation on massive data sets --
$t
Probability and statistical distributions --
$t
Classical statistical inference --
$t
Bayesian statistical inference --
$t
Searching for structure in point data --
$t
Dimensionality and its reduction --
$t
Regression and model fitting --
$t
Classification --
$t
Time series analysis --
$t
An introduction to scientific computing with Python --
$t
AstroML : machine learning for astronomy --
$t
Astronomical flux measurements and magnitudes --
$t
SQL query for downloading SDSS data --
$t
Approximating the Fourier Transform with the FFT.
650
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Astronomy
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Data processing.
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Statistical astronomy.
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Ivezić, Željko.
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2144435
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六樓西文書區HC-Z(6F Western Language Books)
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