Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data - Princeton Series in Modern Observational Astronomy - Zeljko Ivezic - Books - Princeton University Press - 9780691151687 - January 12, 2014
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Zeljko Ivezic
Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data - Princeton Series in Modern Observational Astronomy

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Provides an 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 upcoming Large Synoptic Survey Telescope.

560 pages, 12 color illus. 2 halftones. 173 line illus.

Media Books     Hardcover Book   (Book with hard spine and cover)
Released January 12, 2014
ISBN13 9780691151687
Publishers Princeton University Press
Pages 560
Dimensions 256 × 184 × 39 mm   ·   1.38 kg
Language English  

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