Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data, Updated Edition - Princeton Series in Modern Observational Astronomy - Zeljko Ivezic - Books - Princeton University Press - 9780691198309 - December 3, 2019
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Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data, Updated Edition - Princeton Series in Modern Observational Astronomy Revised edition

Zeljko Ivezic

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Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data, Updated Edition - Princeton Series in Modern Observational Astronomy Revised edition

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

560 pages, 12 color + 187 b/w illus. 13 tables

Media Books     Hardcover Book   (Book with hard spine and cover)
Released December 3, 2019
ISBN13 9780691198309
Publishers Princeton University Press
Pages 560
Dimensions 186 × 258 × 40 mm   ·   1.32 kg

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