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Statistics, Data Mining, and Machine Learning in AstronomyNote: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled. Condition: BRAND NEW ISBN: 9780691198309 Format: Trade binding Year: 2020 Publisher: Princeton University Press 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
Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled.Condition: BRAND NEW
ISBN: 9780691198309
Format: Trade binding
Year: 2020
Publisher: Princeton University Press
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 of practical analysis problems, evaluates the techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. Python code and sample data sets are provided for all applications described in the book. The supporting data sets have been carefully selected from contemporary astronomical surveys and are easy to download and use. The accompanying Python code is publicly available, well documented, and follows uniform coding standards. Together, the data sets and code enable readers to reproduce all the figures and examples, engage with the different methods, and adapt them to their own fields of interest.
An accessible textbook for students and an indispensable reference for researchers, this updated edition features new sections on deep learning methods, hierarchical Bayes modeling, and approximate Bayesian computation. The chapters have been revised throughout and the astroML code has been brought completely up to date.
Fully revised and expanded
Describes the most useful statistical and data-mining methods for extracting knowledge from huge and complex astronomical data sets
Features real-world data sets from astronomical surveys
Uses a freely available Python codebase throughout
Ideal for graduate students, advanced undergraduates, a
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★★★★★ 5
Was my number 1 most wanted omni for awhile finally out in Omnibus Format
Format: Hardcover
Love Dazzler been waiting on a Omnibus or epic collection of this run for a couple years now finally made into one Big A$$ Omnibus so great
Id Recommend if you like the character to get this
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Reviewed in the United States on December 4, 2024
★★★★★ 4
Super heavy so difficult to hold and read
Format: Hardcover
My daughter loves the stories, but it is super heavy making it difficult to read in many typical reading positions. It should probably have been 3 or 4 separate books instead making it more manageable to hold
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Reviewed in the United States on July 29, 2025
★★★★★ 5
No texture issues
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Reviewed in the United States on May 15, 2025
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Better than any hair cream available today.
Scent: Hair Styler (1 Pack)
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Reviewed in the United States on April 9, 2024
★★★★★ 4
Not greasy
Scent: Hair Styler (1 Pack)
Not greasy
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Reviewed in the United States on July 26, 2025