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Statistics, Data Mining, and Machine Learning in – A Practical Python Guide for the Analysis of Survey Data, Updated Edition de Eljko Ivezic

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

Autor Eljko Ivezic, Andrew J. Connolly, Jacob T. Vanderplas, Alexander Gray
en Limba Engleză Hardback – 5 dec 2019
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
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Specificații

ISBN-13: 9780691198309
ISBN-10: 0691198306
Pagini: 560
Dimensiuni: 179 x 260 x 40 mm
Greutate: 1.29 kg
Editura: Princeton University Press
Seria Princeton Series in Modern Observational Astronomy

Notă biografică

Zeljko Ivezic 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.