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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 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Statistics, data mining, and machine learning in astronomy :/ Željko Ivezić , Andrew J. Connolly, Jacob T. VanderPlas and Alexander Gray.
Reminder of title:	a practical Python guide for the analysis of survey data /
other author:	Ivezić, Željko.
Published:	Princeton, N.J. :Princeton University Press, : c2014.,
Description:	x, 540 p. :ill. ;26 cm.
Subject:	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:01481cam a2200241 a 4500 001 1992086
003 OCoLC
005 20141223233021.0
008 151013s2014 njua b 001 0 eng d
010 $a 2013951369
020 $a 9780691151687 $q (hbk.) : $c US95.00
020 $a 0691151687 $q (hbk.)
020 $a 9781306373845 $q (MyiLibrary)
020 $a 1306373840 $q (MyiLibrary)
020 $a 1400848911 $q (ebk.)
020 $a 9781400848911 $q (ebk.)
040 $a BTCTA $b eng
050 # 4 $a QB51.3.E43 $b S8 2014
245 1 0 $a Statistics, data mining, and machine learning in astronomy : $b a practical Python guide for the analysis of survey data / $c Željko Ivezić , Andrew J. Connolly, Jacob T. VanderPlas and Alexander Gray.
260 # $a Princeton, N.J. : $b Princeton University Press, $c c2014.
300 $a x, 540 p. : $b ill. ; $c 26 cm.
490 1 0 $a Princeton series in modern observational astronomy
504 $a Includes bibliographical references and index.
505 0 # $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 # 0 $a Astronomy $x Data processing. $3 816366
650 # 0 $a Statistical astronomy. $3 2012802
700 1 # $a Ivezić, Željko. $3 2144435