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)
by Željko Ivezić, Andrew J. Connolly, Jacob T. Vanderplas, Alexander Gray
A hands-on Python guide covering statistics, data mining, and machine learning techniques for analyzing astronomical survey data in modern observational astronomy.
About This Book
This updated edition provides a practical introduction to statistical and computational methods used in modern astronomy.
Readers learn how to apply Python tools for analyzing large astronomical survey datasets.
The book covers core techniques in data mining and machine learning relevant to observational astronomy.
Content is designed for students and researchers working with astronomical data.
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