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Princeton University Press Princeton Statistics, Data Mining, and Machine Learning in Astronomy

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£60.39 £38.30 £43.12 £47.94 £52.76 £57.58 £62.40 25 July 2026 13 August 2026 01 September 2026 20 September 2026 09 October 2026
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Description

Master the statistical methods required to analyze complex astronomical survey data with this updated edition from Princeton University Press. This guide provides a practical approach to handling large data sets from major projects like the Dark Energy Survey and the Large Synoptic Survey Telescope. Designed for modern observational astronomy, the book presents real-world analysis problems and evaluates various techniques for different data sizes and types. Readers gain hands-on experience through Python code and sample data sets provided for every application described. This essential resource is a part of the Princeton Series in Modern Observational Astronomy, making it a vital tool for researchers working with the Panoramic Survey Telescope and Rapid Response System and other large-scale astronomical surveys.

Key Features

This updated edition provides a practical Python guide for analyzing complex data sets from major astronomical surveys.

Learn to apply statistical methods and data mining techniques to projects like the Dark Energy Survey and Large Synoptic Survey Telescope.

The book includes Python code and sample data sets for all practical applications described in the text.

Published by Princeton University Press as part of the Princeton Series in Modern Observational Astronomy.

Gain expertise in evaluating different techniques for solving problems across various types and sizes of astronomical data sets.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
03 December 2019
Listed Since
23 April 2019

Barcode

No barcode data available

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