Non-Fiction Books:

Statistics, Data Mining, and Machine Learning in Astronomy

A Practical Python Guide for the Analysis of Survey Data, Updated Edition
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Description

Statistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the Large Synoptic Survey Telescope. Now fully updated, it presents a wealth o

Author Biography:

Željko Ivezić is professor of astronomy at the University of Washington. Andrew J. Connolly is professor of astronomy at the University of Washington. Jacob T. VanderPlas is a software engineer at Google. Alexander Gray is vice president of AI science at IBM.
Release date NZ
December 3rd, 2019
Audiences
  • General (US: Trade)
  • Tertiary Education (US: College)
Edition
Revised edition
Illustrations
12 color + 187 b/w illus. 13 tables
Pages
560
ISBN-13
9780691198309
Product ID
31428330

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